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The man Paul Scholes had initially claimed he'd have liked to take over from Ole Gunnar Solskjaer at Manchester United is without a job as pressure mounts on Erik ten Hag

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Groupon Inc.

The Department for Work and Pensions (DWP) is set to give millions of people a £300 cash boost from tomorrow (October 31). Eligible benefit claimants will receive the lump sum as part of a scheme to give people on low incomes some financial support amid the ongoing cost of living crisis.

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The year 2011 was notable in the financial world for a series of high-profile initial public offerings (IPOs), particularly in the technology sector.

Companies that had their IPO in 2011

The stock of Groupon Inc (GRPN) has gone down by -7.45% for the week, with a -12.62% drop in the past month and a 47.72% rise in the past quarter. The volatility ratio for the week is 7.83%, and the volatility levels for the past 30 days are 11.

Groupon Inc (GRPN) Stock Faces 7.83% Weekly Volatility

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A Place in the Sun's Jonnie Irwin supported as he marks special day with his wife

Groupon

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The internet has made it easier than ever for everyone to find discounts and deals on the things they need. Sites like Groupon and LivingSocial offer users daily discounts on a variety of products and services, making it easy to save money on things you might not have thought of before. In this article, we'll show you how to use technology to your advantage when looking for coupons, so you can save even more money! With so many new and innovative ways to save money on everyday items, it can be hard to keep track of them all. But don’t worry, you're not alone. In this article, we'll talk about how technology is making it easier than ever for you to snag some amazing discounts. Technology has played a big role in the way that we live our lives and shop. Whether it's through smartphones, computers, or even the apps we use on our phones, there are many ways to save money when shopping. In this article, we'll show you how to save on coupons using technology and some of the different apps that are available. With the help of technology, couponing has become easier than ever before. You can now find coupons for just about anything online, and even print them out for use in-store. But there are a few things to keep in mind if you want to save the most money while couponing. The Rise of Technology: Coupons Aren't Just For Grocery Stores Anymore When it comes to couponing, there are a couple of different ways that people can go about it. One way is to go to the store and print out all of your coupons before you go. This is definitely an option if you have a lot of time on your hands and want to try as many different stores as possible. However, this method can be a bit cumbersome if you're trying to save money on multiple items. Another way to coupon is to use technology. Specifically, you can use online coupon websites. These websites allow you to input the name of the store, the item that you're looking for, and the price range that you're willing to pay. Then, they will show you all of the available coupons for that product. This is a much more streamlined process than going to each individual store and trying to track down all of Alidropship Premium Store Coupon code for you If you're like most people, you're always looking for ways to save money. And if you're like most people who shop online, you're probably especially interested in finding great deals on premium stores so here is alidropship premium store coupon code for you. Fortunately, ALIDROPSHIP has got your covered! Not only does the site offer up some of the best (and sometimes exclusive) clothing and accessories around, but it also offers coupons that can help you save even more money. How Technology Works to Find Coupon Codes Coupons are a great way to save on your shopping, but they can be hard to find without technology. With the rise of online coupon databases and apps, it has become easier than ever to find and use coupons. Here are some tips for using technology to save on your grocery shopping: First, check online coupon databases like CouponCabin. This site has a searchable database of over 1 million active coupons. You can also browse by store, product, category, or brand. If you have an app that helps you track your spending, like Mint or Hopper, you can add coupons to your list of transactions. This will help you see which stores have the best deals on specific products. Another option is to sign up for email newsletters from stores like Walmart or Target. These newsletters often include exclusive offers for subscribers. Finally, take advantage of printable coupons. Many stores offer printable versions of their online coupons that you can take with you when shopping in person. Technology has made it easier than ever to find and use coupons. Online services like couponing sites, apps, and even email newsletters offer users a variety of ways to save on their favorite products. One of the most popular methods for finding coupons is through online coupon websites. These sites allow users to search through a variety of different coupons and deals. Some websites also offer user-generated deals, which means that anyone can submit a deal for others to view and save on. Another way to find coupons is through apps. Many different apps offer users the ability to scan barcodes and find discounts on products within the app. Some apps also let users add products to shopping lists for later purchase. Email newsletters are another popular way to find coupons. These newsletters typically contain a selection of deals that have been found by the newsletter’s editor or staff. Most newsletters also include instructions on how to redeem the deals. Overall, technology has made it easier than ever for consumers to find and use coupons. With so many different ways to save, there is sure to be a coupon code for whatever product or deal you are looking for! The Best Technologies to Find and Save Coupon Codes There are a number of apps available to help you save on your groceries, travel deals, and more. Here are five of the best: Coupon Crawl: This app allows you to scan barcodes to find coupons for nearby stores. RedLaser: This app allows you to find coupons for products in-store and online. Scout24: This app provides deals from stores all over the world. Groupon: This app offers deals for restaurants, entertainment, and more. REVEAL: This app allows you to scan items in your grocery cart to find discounts. The rise of technology has made it easier than ever to find and save coupon codes. There are a variety of technologies that can help you find and use coupons, including online search engines, apps, and social media sites. Online search engines are the simplest way to find and use coupons. You can enter a keyword or phrase into a search engine, and the results will include websites that contain coupon codes for that particular topic. Some popular online search engines include Google, Yahoo! Search, and Bing. Apps are another great way to find and use coupons. Many apps allow you to search for coupons on the app’s own platform as well as other platforms, such as Facebook and Twitter. Apps also often have their own loyalty programs, which allow you to earn rewards for using the app and shopping at participating stores. Social media sites are another great way to find and use coupons. Sites like Facebook have built-in features that allow you to share deals with your friends, while sites like Twitter allow you to share deals with the entire world in a few short seconds. No matter which technology you choose, be sure to read the instructions carefully before using a coupon code. Many coupon codes require unique browser extensions How To Get The Best Deals by Technology One way to save money on your shopping is to use online coupons. These can be found through websites, apps, or newspapers. When you use online coupons, you’re getting discounts on your purchases that you wouldn’t have gotten if you had just bought the items at their regular prices. There are a few things that you need to keep in mind when using online coupons. First of all, make sure that the coupon is valid for the item that you are purchasing. Many times, coupons are only good for a certain product range or store location. Another thing to keep in mind is the expiration date. Most online coupons have a limited life span, which is usually around a month. After that point, the coupon may no longer be valid and will not give you any discount on your purchase. Finally, make sure that you print out the coupon before you go shopping so that you have it with you when you are shopping. This will help to avoid any problems in case the coupon is not accepted by the cashier at the store. Conclusion It's no secret that the rise of technology has led to an increase in coupon use. In fact, according to a study by CouponCabin, 78% of American households use coupons at least once a month. However, with so many options and deals available online, it can be hard to know where to start when trying to save on your purchases. Luckily, we've got you covered with this guide on how to save money using digital couponing tools. From clipping coupons directly from catalogs and online newspapers to using apps like Hopper and Shopper’s Club Pro, there are plenty of ways to get the most out of your savings efforts.

How to Save On Coupons with the Rise of Technology

by Joseph Flaherty In 2007, Groupon took in the of what would ultimately be $1.4B of venture capital, raised with ambitions of reshaping shopping. For a while, it looked like group buying, social commerce, daily deals, or whatever you call the practice of time-limited sales paired with social pressure was really going to change buying behaviors in a big way. In the space of four years the category exploded: first million dollars Groupon became the fastest startup in history to reach a . billion-dollar valuation Founder Andrew Mason appeared on the covers of and . Forbes Wired even though it had no clear connection to any aspect of the search giant’s business. Google offered $6B to buy Groupon Not to be outdone by Google, . Amazon invested heavily in LivingSocial Shockingly, Facebook as well. copied the idea A slick business about Groupon, and the phenomena it generated, was published and blurbed by the likes of Andrew Ross Sorkin and Tony Hsieh. book Hundreds of VC-backed daily deal sites sprung up focusing on every geography, vertical, and buying gimmick you could imagine. So many startups were founded in this space that ! multiple daily deal aggregators got VC funding Poorly conceived were aired. SuperBowl commercials Groupon went public and at its peak commanded a . $16B market cap “Social shopping” wasn’t a platform in the way mobile is, but everyone in tech started thinking about how it would transform their market. The business model just didn’t work very well. under the stress of baking beignets at bargain basement prices. Daily deals turned out to be a great ad platform for indoor skydiving facilities and escape rooms, but that’s not the kind of business that changes commerce — It’s the kind that trades for 2X profits. Brunch spots broke There was a flash sale on GRPN stock that saw its value drop by 85%. . The clowder of copycats screeched their last. LivingSocial died a lonely death It wasn’t a total washout. Zulilly IPO’d and was . quickly acquired by QVC Wish has adapted the model and currently holds an . $8.5B valuation Coupang, the Korean alternative to Amazon, , though they thrived after pivoting into a full-stack ecommerce model. commands a $5B valuation Even after all the drama, Groupon is still around and has a $2.4B market cap. Many of these companies were and are successes. They may have fallen short of outrageously high expectations, but the model worked in some specific contexts. It just wasn’t a generally applicable approach and a lot of startups paid the price for chasing a trend that didn’t materialize. The real loss is the years of effort wasted by entrepreneurs blindly chasing after the “next big thing.” The media’s incentives are different than startups’ Why did Groupon get overhyped? The media has to drive an exciting narrative every day. The problem is, truly disruptive innovations don’t come along often. Interesting but ultimately marginal developments are oversold. For instance, in 2015, following in the wake of Facebook’s acquisition of Oculus, declared that “ ” Three years later, we’re still pawing at glass like morlocks. And when VR does arrive, there’s a good chance it’ll primarily be a video game accessory rather than a general purpose computing platform to rival smartphones. Time Magazine Virtual reality was about to change the world. . . . These were all proclaimed as the “Next Big Thing” by major news outlets. Good businesses can be built in any of these areas, but in retrospect, they did not become broadly lucrative trends. Personal Robots Gamification Wearables Today, “ ” is touted as a disruptive platform, but at present, it looks more like a new UI layer for Apple and Amazon services than a technology that will launch a hundred startups. voice These reporters aren’t purposefully misleading people. They’ll make bad predictions in much the same way VCs will make bad investments. It’s the job of founders to look at these trends critically and to remember that may be deadly to reporters, they can be fabulously lucrative to founders. boring ideas Startup who chase after these trends often find themselves stumped by “ ” The Platform Paradox. For the record, VCs also have a role in this, hyping your startups is part of the gig, but they also pay a heavy financial penalty when their companies go belly up. The solution? Embrace the use case The same year Groupon got started, Peter Gassner raised to fund , a vertically-focused (and very boring) CRM-style SaaS solution for life science companies. Its launch was little noted by the tech press. The product’s ability to streamline communication between pharma companies and clinical research organizations didn’t herald the arrival of any new tech paradigms. Incubators didn’t create special purpose funds to spawn imitators. $3M dollars Veeva However, many life sciences professionals thought it was the best startup in the space since Emil Erlenmeyer got into the flask making business and were willing to pay accordingly. Veeva went public a couple years after Groupon and today it’s worth over $10B. Considering Veeva only raised $7M in total venture capital, it is easily one of the most successful tech IPOs of the last half decade. Groupon was sold as a paradigm shift in ecommerce that would ripple through the broader economy. Veeva was “just” a well-conceived B2B product for a niche market. It turns out niches hold riches. Don’t believe the hype As wrote, “By the time there is a special purpose VC fund devoted to a trend, it is probably too late to build a meaningful company in that space.” David Frankel _One of the questions a VC gets most often is “what are you interested in?” Many investors have developed “themes” that…_hackernoon.com Why today’s tech themes are poor predictors of tomorrow’s hot startups Keep an eye on macro trends, but employ them in the service of a specific use case for a specific kind of customer. Technological fads come and go, but human use cases are durable and can be exceedingly valuable.

Startups, Beware the Next Big Thing

**NEW YORK, NY, October 30th, 2024/Chainwire/--**Morph, a global consumer layer for driving blockchain adoption, today announced its mainnet launch on Ethereum. The mainnet launch marks a significant milestone in building Morph’s consumer layer, serving as an expansion beyond a typical Layer 2. Morph’s consumer layer directly addresses the root causes of limited blockchain adoption, enabling ecosystem participants to exchange real assets and engage in transactions. Projects that are already building on Morph can now transition to the mainnet and continue developing their technology with this expanded scope, further driving growth of the consumer layer. Cecilia Hsueh, CEO and Co-Founder of Morph, commented on today’s news: “Morph’s launch on mainnet marks a significant step in our mission to bring blockchain to the masses. Currently, dApps are not designed for everyday users–we are working hard on changing this. This milestone propels our vision of a decentralized, scalable, and secure infrastructure, empowering developers and users alike with the tools they need to build and engage with the next generation of consumer-centric decentralized applications.” Morph’s consumer layer is a carefully crafted ecosystem of technologies, services, and features that combines optimistic and zero-knowledge rollups to strengthen both security and performance. To date, blockchain adoption has been slow due to regulatory, scalability, and performance issues. On the other hand, the newly-launched mainnet offers builders a blockchain experience that is scalable, secure, and user-friendly to the non-crypto native, enabling endless possibilities for consumer blockchain applications. Morph’s mainnet launch follows its previous Holesky Testnet that featured key upgrades including an EIP-4844 Optimistic zkVM integration to lower transaction costs and a revamped bridge mechanism to finalize withdrawals in a single transaction. Aiming to improve performance and infrastructure, the testnet saw over 6 million wallet addresses, 100 million transactions, more than 200 projects deployed, and 1 million plus members joining the community. “Our goal is to be the one-stop shop for all builders around the globe to come build on and be able to create success for the projects they’re working on,” said Azeem Khan, COO and Co-Founder of Morph. “While decentralization is important in technology, the inability of builders to navigate the resources needed to build, launch, and scale their companies is something we’re here to address. It’s time for there to be a chain by and for the builders. That is Morph.” As part of Morph’s vision to revolutionize the blockchain industry by transitioning from a tech-centric niche to a mainstream utility, Morph’s consumer layer approach differs from that of other blockchains which focus narrowly on technical aspects without achieving widespread adoption. To address these challenges, Morph provides builders with key resources, including funding, incubation, acceleration, and go-to-market strategies to keep consumers top of mind. Initiatives such as the recently announced Centralized Exchange Coalition, an initiative composed of top centralized exchanges, empower builders to bring their projects to market, attract users, and access essential funding. Through this comprehensive support system, Morph enables builders to succeed, driving the next wave of blockchain innovation. About Morph Morph is the global consumer layer, acting as the distribution hub for the resources builders need to launch and scale for the mass market. It leverages a hybrid solution of ZK and Optimistic roll-up technology and a decentralized sequencer to enable limitless possibilities within mainstream audiences, making it a user-friendly option for developers who require a chain to build these types of apps. Bitget, the world's leading cryptocurrency exchange, is an original investor in Morph that will continue to play a role amongst the other investors in shaping the Morph ecosystem. Contact M Group on Behalf of Morph morph@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here **NEW YORK, NY, October 30th, 2024/Chainwire/--**Morph, a global consumer layer for driving blockchain adoption, today announced its mainnet launch on Ethereum. The mainnet launch marks a significant milestone in building Morph’s consumer layer, serving as an expansion beyond a typical Layer 2. Morph’s consumer layer directly addresses the root causes of limited blockchain adoption, enabling ecosystem participants to exchange real assets and engage in transactions. Projects that are already building on Morph can now transition to the mainnet and continue developing their technology with this expanded scope, further driving growth of the consumer layer. Cecilia Hsueh, CEO and Co-Founder of Morph, commented on today’s news: “Morph’s launch on mainnet marks a significant step in our mission to bring blockchain to the masses. Currently, dApps are not designed for everyday users–we are working hard on changing this. This milestone propels our vision of a decentralized, scalable, and secure infrastructure, empowering developers and users alike with the tools they need to build and engage with the next generation of consumer-centric decentralized applications.” Cecilia Hsueh, CEO and Co-Founder of Morph, commented on today’s news: “Morph’s launch on mainnet marks a significant step in our mission to bring blockchain to the masses. Currently, dApps are not designed for everyday users–we are working hard on changing this. This milestone propels our vision of a decentralized, scalable, and secure infrastructure, empowering developers and users alike with the tools they need to build and engage with the next generation of consumer-centric decentralized applications.” Morph’s consumer layer is a carefully crafted ecosystem of technologies, services, and features that combines optimistic and zero-knowledge rollups to strengthen both security and performance. To date, blockchain adoption has been slow due to regulatory, scalability, and performance issues. On the other hand, the newly-launched mainnet offers builders a blockchain experience that is scalable, secure, and user-friendly to the non-crypto native, enabling endless possibilities for consumer blockchain applications. Morph’s mainnet launch follows its previous Holesky Testnet that featured key upgrades including an EIP-4844 Optimistic zkVM integration to lower transaction costs and a revamped bridge mechanism to finalize withdrawals in a single transaction. Aiming to improve performance and infrastructure, the testnet saw over 6 million wallet addresses, 100 million transactions, more than 200 projects deployed, and 1 million plus members joining the community. “Our goal is to be the one-stop shop for all builders around the globe to come build on and be able to create success for the projects they’re working on,” said Azeem Khan, COO and Co-Founder of Morph. “While decentralization is important in technology, the inability of builders to navigate the resources needed to build, launch, and scale their companies is something we’re here to address. It’s time for there to be a chain by and for the builders. That is Morph.” “Our goal is to be the one-stop shop for all builders around the globe to come build on and be able to create success for the projects they’re working on,” said Azeem Khan, COO and Co-Founder of Morph. “While decentralization is important in technology, the inability of builders to navigate the resources needed to build, launch, and scale their companies is something we’re here to address. It’s time for there to be a chain by and for the builders. That is Morph.” As part of Morph’s vision to revolutionize the blockchain industry by transitioning from a tech-centric niche to a mainstream utility, Morph’s consumer layer approach differs from that of other blockchains which focus narrowly on technical aspects without achieving widespread adoption. To address these challenges, Morph provides builders with key resources, including funding, incubation, acceleration, and go-to-market strategies to keep consumers top of mind. Initiatives such as the recently announced Centralized Exchange Coalition , an initiative composed of top centralized exchanges, empower builders to bring their projects to market, attract users, and access essential funding. Through this comprehensive support system, Morph enables builders to succeed, driving the next wave of blockchain innovation. Centralized Exchange Coalition Centralized Exchange Coalition About Morph Morph is the global consumer layer, acting as the distribution hub for the resources builders need to launch and scale for the mass market. It leverages a hybrid solution of ZK and Optimistic roll-up technology and a decentralized sequencer to enable limitless possibilities within mainstream audiences, making it a user-friendly option for developers who require a chain to build these types of apps. Bitget, the world's leading cryptocurrency exchange, is an original investor in Morph that will continue to play a role amongst the other investors in shaping the Morph ecosystem. Morph Morph Contact M Group on Behalf of Morph morph@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here here

Morph Announces Mainnet Launch On Ethereum, Paving The Way For Consumer Blockchain Adoption

ሞርፍ ሜይንኔትን በEthereum ላይ መጀመሩን አስታውቋል፣ለሸማቾች ብሎክቼይን ጉዲፈቻ መንገዱን እየጠረገ ነው።

Morph, istehlakçı blokçeyninin qəbulu üçün yol açan Ethereum-da Mainnet işə salındığını elan etdi

Morph oznamuje spuštění Mainnetu na Ethereum, čímž připravuje cestu pro spotřebitelské přijetí blockchainu

Η Morph ανακοινώνει την κυκλοφορία του Mainnet στο Ethereum, ανοίγοντας τον δρόμο για την υιοθέτηση του Blockchain από καταναλωτές

Morph anuncia el lanzamiento de la red principal en Ethereum, allanando el camino para la adopción de blockchain por parte de los consumidores

Morph Anonse Lansman Mainnet sou Ethereum, Pave wout la pou Adopsyon Blockchain Konsomatè

Morph מכריזה על השקת Mainnet ב-Ethereum, וסוללת את הדרך לאימוץ בלוקצ'יין לצרכן

Morph がイーサリアムのメインネット立ち上げを発表、消費者のブロックチェーン導入への道を開く

Morph Asakoli Lancement Ya Mainnet Na Ethereum, Kofungola Nzela Pona Adoption Ya Blockchain Ya Consommateur

Morph wuxuu ku dhawaaqay inuu bilaabay Mainnet ee Ethereum, isagoo u gogol xaaraya dariiqa loogu talagalay korsashada blockchain macaamiisha

ሞርፍ ኣብ ኤትሪየም ማይኔት ምጅማር ኣፍሊጡ፣ እዚ ድማ ንተጠቀምቲ ብሎክቸይን ምቕባል መንገዲ ጸሪጉ

Morph Yi Tivisa Ku Sunguriwa Ka Mainnet Eka Ethereum, Ku Pfula Ndlela Ya Ku Amukela Blockchain Ya Vaxavi

When we think of sci-fi, we often picture bleak, dystopian futures—worlds where humanity is fighting for survival in apocalyptic wastelands. Films like The Matrix, Mad Max, and Blade Runner have defined this genre for decades, painting a dark picture of what’s to come. But what if sci-fi didn’t have to be a prophecy of doom? What if, instead, it could offer hope, creativity, and a vision of a better future? That's where Artisans of Time comes in. My name is Akasha, and I’ve written Artisans of Time—a regenerative sci-fi script that breaks free from the apocalyptic narrative and presents a utopian world of technological and creative abundance. This project isn't just a story about the future—it's a mission to show the power of women, innovation, and imagination in shaping a brighter tomorrow. I believe you can still include classic Hero's Journey or Save the Cat elements—like the call to adventure, meeting the mentor, and crossing the threshold—without relying on the standard "man battles apocalyptic future" setting. There's plenty of room to explore personal growth, challenges, and transformation in more hopeful and regenerative worlds. A New Model of Storytelling As someone with a degree in creative writing, and a background in human rights, ancient cultures, emerging tech, regenerative farming and biodiversity, as well as being a bit on the weird side, I’ve always been passionate about stories that challenge societal norms and offer fresh perspectives. With Artisans of Time, my goal is to create a new model of filmmaking—one that isn’t centered around fear, destruction, or dystopia. Instead, we’re building a future where technology is used for good, where creativity thrives, and where we’re inspired by the possibilities of what humanity can achieve. Hey, because isn’t sci-fi the template for imagining the future? Just look at Jules Verne predicting submarines and video calls! So why can’t we imagine a rich and abundant future where there's enough for everyone, freedom to explore our creativity, and a thriving, abundant natural world? The film’s protagonist, Emma, is a hardware artist—a creator in a world where technological invention is restricted to an elite class. Her struggle for recognition mirrors the challenges faced by women in STEM fields today, fighting for equality, respect, and opportunities to contribute. Emma’s journey is about much more than rebellion—it’s about democratizing technology and envisioning a future where innovation benefits everyone, not just the privileged few. Recognition and Support Since completing the script, Artisans of Time has already garnered attention, earning a Merit Award at the Big Apple Film Festival. But that’s just the beginning. As part of Artizen Fund Season 4, we’ve also been accepted into several key funds and initiatives that support groundbreaking projects like this: Commons Fund for public goods pioneers


AI Filmmaking Fund for generative storytellers


Immersive Worlds Fund for spatial community-building


Artizen Fund for human creativity These matching funds play a critical role in helping us bring renegade projects like this to life. Every NFT sale and contribution helps us continue building the Artisans of Time world and telling stories that matter. Expanding Into Immersive Worlds But Artisans of Time is more than just a film—it’s the start of something bigger. With a background in web3 game marketing and development, my vision is to expand this story into an immersive world where people can engage, create, and make an impact. Imagine a game where players are rewarded for taking real-world positive environmental actions and can interact with their own regenerative AI chatbot coach. But it doesn't stop there—Artisans of Time could also include AR/VR elements, where you look at your current city and imagine it transformed into the utopian world of Artisans of Time, filled with trees, plants, and clean energy solutions. Artisans of Time lends itself perfectly to game development and immersive storytelling. It’s a world where the audience doesn’t just watch the story unfold—they participate in shaping the narrative and envision a regenerative future. A Unique Look Inspired by Imagination I grew up in an era filled with Fraggle Rock, The Labyrinth, and the magical worlds of Jim Henson, and I’d love the opportunity to bring those rich, bohemian, real-life textures into an immersive world. (One day, I may even grow up and marry my very own Kermit the Frog! 🐸💍) Visually, Artisans of Time is something truly special. I’ve developed a 3D storytelling world that is diverse, inclusive, and technologically advanced, but still deeply human and artistic. The look and feel of the world draw inspiration from the imaginative worlds I grew up loving and being inspired by. It’s detailed, immersive, and full of life, offering a space where every element of the world contributes to the broader narrative. Why Now? We live in a time when the stories we tell have a profound impact on the way we view the future. Sci-fi has always been a space where we explore possibilities, but too often those possibilities are dark and dystopian. With Artisans of Time, I want to shift the narrative toward something more positive—something that inspires us to think creatively, innovate, and build a world that benefits everyone. Isn’t that the reason why we are in web3 anyway? I believe that regenerative storytelling can inspire real-world change. By creating a story that highlights the importance of inclusion, creativity, and sustainability, we can encourage people to think differently about the future. How You Can Support We’re currently raising support through platforms like Artizen Fund, where each sale of our NFTs helps fund the project and grow our community. Watch the interview replay with Akasha here from 1hr. If you believe in the power of storytelling and want to see more womxn-led, visionary projects in sci-fi, I invite you to check out Artisans of Time and support us, or come and join our chat group on Console.xyx. About Artizen Fund The Artizen Fund is all about decolonizing impact funding, making it more democratic, and leveling the playing field for creators. It supports projects that are off the beaten path, often regenerative in nature, and focused on creating real change. By purchasing NFTs or contributing, you're helping to fund bold, creative work like Artisans of Time, while ensuring that diverse voices and ideas have the opportunity to thrive. Your support helps projects move forward while making impact funding more accessible to everyone When we think of sci-fi, we often picture bleak, dystopian futures—worlds where humanity is fighting for survival in apocalyptic wastelands. Films like The Matrix , Mad Max , and Blade Runner have defined this genre for decades, painting a dark picture of what’s to come. But what if sci-fi didn’t have to be a prophecy of doom? What if, instead, it could offer hope, creativity, and a vision of a better future? The Matrix Mad Max Blade Runner That's where Artisans of Time comes in. Artisans of Time My name is Akasha, and I’ve written Artisans of Time —a regenerative sci-fi script that breaks free from the apocalyptic narrative and presents a utopian world of technological and creative abundance. This project isn't just a story about the future—it's a mission to show the power of women, innovation, and imagination in shaping a brighter tomorrow. Artisans of Time I believe you can still include classic Hero's Journey or Save the Cat elements—like the call to adventure, meeting the mentor, and crossing the threshold—without relying on the standard "man battles apocalyptic future" setting. There's plenty of room to explore personal growth, challenges, and transformation in more hopeful and regenerative worlds. Save the Cat A New Model of Storytelling As someone with a degree in creative writing, and a background in human rights, ancient cultures, emerging tech, regenerative farming and biodiversity, as well as being a bit on the weird side, I’ve always been passionate about stories that challenge societal norms and offer fresh perspectives. With Artisans of Time , my goal is to create a new model of filmmaking —one that isn’t centered around fear, destruction, or dystopia. Artisans of Time new model of filmmaking Instead, we’re building a future where technology is used for good, where creativity thrives, and where we’re inspired by the possibilities of what humanity can achieve. Hey, because isn’t sci-fi the template for imagining the future ? Just look at Jules Verne predicting submarines and video calls! So why can’t we imagine a rich and abundant future where there's enough for everyone, freedom to explore our creativity, and a thriving, abundant natural world ? sci-fi the template for imagining the future rich and abundant future enough for everyone, freedom to explore our creativity, and a thriving, abundant natural world The film’s protagonist, Emma, is a hardware artist —a creator in a world where technological invention is restricted to an elite class. hardware artist Her struggle for recognition mirrors the challenges faced by women in STEM fields today, fighting for equality, respect, and opportunities to contribute. Emma’s journey is about much more than rebellion—it’s about democratizing technology and envisioning a future where innovation benefits everyone, not just the privileged few. democratizing technology Recognition and Support Since completing the script, Artisans of Time has already garnered attention, earning a Merit Award at the Big Apple Film Festival. But that’s just the beginning. As part of Artizen Fund Season 4 , we’ve also been accepted into several key funds and initiatives that support groundbreaking projects like this: Artisans of Time Artizen Fund Season 4 Commons Fund for public goods pioneers AI Filmmaking Fund for generative storytellers Immersive Worlds Fund for spatial community-building Artizen Fund for human creativity Commons Fund for public goods pioneers Commons Fund for public goods pioneers Commons Fund AI Filmmaking Fund for generative storytellers AI Filmmaking Fund for generative storytellers AI Filmmaking Fund Immersive Worlds Fund for spatial community-building Immersive Worlds Fund for spatial community-building Immersive Worlds Fund Artizen Fund for human creativity Artizen Fund for human creativity Artizen Fund These matching funds play a critical role in helping us bring renegade projects like this to life. Every NFT sale and contribution helps us continue building the Artisans of Time world and telling stories that matter. Expanding Into Immersive Worlds But Artisans of Time is more than just a film—it’s the start of something bigger. With a background in web3 game marketing and development, my vision is to expand this story into an immersive world where people can engage, create, and make an impact. Artisans of Time Imagine a game where players are rewarded for taking real-world positive environmental actions and can interact with their own regenerative AI chatbot coach. But it doesn't stop there— Artisans of Time could also include AR/VR elements, where you look at your current city and imagine it transformed into the utopian world of Artisans of Time , filled with trees, plants, and clean energy solutions. Artisans of Time Artisans of Time Artisans of Time lends itself perfectly to game development and immersive storytelling. It’s a world where the audience doesn’t just watch the story unfold—they participate in shaping the narrative and envision a regenerative future. Artisans of Time A Unique Look Inspired by Imagination I grew up in an era filled with Fraggle Rock , The Labyrinth , and the magical worlds of Jim Henson, and I’d love the opportunity to bring those rich, bohemian, real-life textures into an immersive world. (One day, I may even grow up and marry my very own Kermit the Frog! 🐸💍) Fraggle Rock The Labyrinth Visually, Artisans of Time is something truly special. I’ve developed a 3D storytelling world that is diverse, inclusive, and technologically advanced, but still deeply human and artistic . Artisans of Time diverse, inclusive, and technologically advanced, but still deeply human and artistic The look and feel of the world draw inspiration from the imaginative worlds I grew up loving and being inspired by. It’s detailed, immersive, and full of life, offering a space where every element of the world contributes to the broader narrative. Why Now? We live in a time when the stories we tell have a profound impact on the way we view the future . stories we tell have a profound impact on the way we view the future Sci-fi has always been a space where we explore possibilities, but too often those possibilities are dark and dystopian. With Artisans of Time , I want to shift the narrative toward something more positive—something that inspires us to think creatively, innovate, and build a world that benefits everyone . Isn’t that the reason why we are in web3 anyway? Artisans of Time inspires us to think creatively, innovate, and build a world that benefits everyone I believe that regenerative storytelling can inspire real-world change. By creating a story that highlights the importance of inclusion, creativity, and sustainability, we can encourage people to think differently about the future. How You Can Support We’re currently raising support through platforms like Artizen Fund, where each sale of our NFTs helps fund the project and grow our community . Watch the interview replay with Akasha here from 1hr. community interview replay with Akasha here If you believe in the power of storytelling and want to see more womxn-led, visionary projects in sci-fi, I invite you to check out Artisans of Time and support us, or come and join our chat group on Console.xyx . Artisans of Time Console.xyx About Artizen Fund About Artizen Fund The Artizen Fund is all about decolonizing impact funding, making it more democratic, and leveling the playing field for creators. Artizen Fund It supports projects that are off the beaten path, often regenerative in nature, and focused on creating real change. By purchasing NFTs or contributing, you're helping to fund bold, creative work like Artisans of Time , while ensuring that diverse voices and ideas have the opportunity to thrive. Your support helps projects move forward while making impact funding more accessible to everyone Artisans of Time

Artisans of Time: Reimagining Sci-Fi & Building a Regenerative Future

NEW YORK, NY, September 17th, 2024/Chainwire/--Threshold Network, the DAO behind tBTC, the first decentralized asset bridging Bitcoin and Ethereum, announced that EigenLayer, the restaking protocol built by Eigen Labs, has officially started accepting tBTC deposits, making tBTC the first incentivized bitcoin asset on EigenLayer. Threshold’s integration with EigenLayer underscores the BitcoinFi community’s outpaced demand for staked Bitcoin—a major shift towards maximizing the full earning power of Bitcoin for users,” commented MacLane Wilkison, Contributor to Threshold. “It is a testament to tBTC’s strength in securing the BitcoinFi ecosystem through the diversification of assets available. To date, leading protocols including Curve, GMX, and Compound, among others, have integrated the asset for its flexibility as one of most decentralized wrapped assets on the market.” The Threshold Network DAO, which governs tBTC, offers incentives of up to $45K in T over the first 3 months for new users who deposit tBTC into EigenLayer. With Eigenlayer, users have a new way to maximize capital efficiency: opting in to secure additional protocols through restaking. This method strengthens economic security by leveraging Bitcoin’s stability—an asset that accounts for over 50% of the total crypto market cap—and merging its long-term non-inflationary nature with the Proof of Stake (PoS) consensus model. Notably, restaking just 7% of Bitcoin’s total supply would provide the same level of economic security as Ethereum, underscoring Bitcoin’s potential as a PoS asset. “The inclusion of Threshold’s tBTC as a restakeable asset on EigenLayer is another major step forward towards open innovation by building connectivity with the bitcoin ecosystem, broadening the scope of assets that can contribute to securing decentralized networks, and providing greater optionality and utility for AVSs and restakers,” stated Sreeram Kannan, Founder and CEO of Eigen Labs. Following the emergence of Bitcoin staking projects like Babylon, Lombard, and Acre, EigenLayer's adoption of tBTC is a testament to the power of Bitcoin restaking in incentivizing users to put Bitcoin to use beyond a store of value. tBTC’s ability to bridge the Bitcoin and Ethereum ecosystem makes it the optimal solution for driving the development of the BitcoinFi ecosystem. About Threshold Network: Threshold Network offers decentralized cryptography services that enhance privacy and security on public blockchains by distributing operations across independent nodes. Powered by the T token, users can stake and operate nodes to support key services like tBTC, a Bitcoin bridge, and TACo, an access control tool. By minimizing reliance on centralized entities, Threshold ensures trustless, secure, and privacy-focused solutions for decentralized applications in the evolving Web 3.0 landscape. To learn more, please visit: https://threshold.network/ About EigenLayer: EigenLayer is a protocol built on Ethereum that pioneered restaking, a new primitive in cryptoeconomic security. Through a system of interconnected smart contracts, any ERC-20 token, such as tBTC, can be "restaked" to participate in not one, but any number of Actively Validated Services (AVSs) in exchange for fees and/or rewards. Operators opt into these opportunities by running additional node software and in some cases grant the EigenLayer smart contracts the ability to impose additional slashing conditions on their assets as specified by the AVS. Contact M Group on Behalf of Threshold tkaufmann@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here NEW YORK, NY, September 17th, 2024/Chainwire/--Threshold Network, the DAO behind tBTC, the first decentralized asset bridging Bitcoin and Ethereum, announced that EigenLayer, the restaking protocol built by Eigen Labs, has officially started accepting tBTC deposits, making tBTC the first incentivized bitcoin asset on EigenLayer. Threshold’s integration with EigenLayer underscores the BitcoinFi community’s outpaced demand for staked Bitcoin—a major shift towards maximizing the full earning power of Bitcoin for users,” commented MacLane Wilkison, Contributor to Threshold. “It is a testament to tBTC’s strength in securing the BitcoinFi ecosystem through the diversification of assets available. To date, leading protocols including Curve, GMX, and Compound, among others, have integrated the asset for its flexibility as one of most decentralized wrapped assets on the market.” “It is a testament to tBTC’s strength in securing the BitcoinFi ecosystem through the diversification of assets available. To date, leading protocols including Curve, GMX, and Compound, among others, have integrated the asset for its flexibility as one of most decentralized wrapped assets on the market.” The Threshold Network DAO, which governs tBTC, offers incentives of up to $45K in T over the first 3 months for new users who deposit tBTC into EigenLayer. With Eigenlayer, users have a new way to maximize capital efficiency: opting in to secure additional protocols through restaking. This method strengthens economic security by leveraging Bitcoin’s stability—an asset that accounts for over 50% of the total crypto market cap—and merging its long-term non-inflationary nature with the Proof of Stake (PoS) consensus model. Notably, restaking just 7% of Bitcoin’s total supply would provide the same level of economic security as Ethereum, underscoring Bitcoin’s potential as a PoS asset. “The inclusion of Threshold’s tBTC as a restakeable asset on EigenLayer is another major step forward towards open innovation by building connectivity with the bitcoin ecosystem, broadening the scope of assets that can contribute to securing decentralized networks, and providing greater optionality and utility for AVSs and restakers,” stated Sreeram Kannan, Founder and CEO of Eigen Labs. “The inclusion of Threshold’s tBTC as a restakeable asset on EigenLayer is another major step forward towards open innovation by building connectivity with the bitcoin ecosystem, broadening the scope of assets that can contribute to securing decentralized networks, and providing greater optionality and utility for AVSs and restakers,” stated Sreeram Kannan, Founder and CEO of Eigen Labs. Following the emergence of Bitcoin staking projects like Babylon, Lombard, and Acre, EigenLayer's adoption of tBTC is a testament to the power of Bitcoin restaking in incentivizing users to put Bitcoin to use beyond a store of value. tBTC’s ability to bridge the Bitcoin and Ethereum ecosystem makes it the optimal solution for driving the development of the BitcoinFi ecosystem. About Threshold Network: Threshold Network offers decentralized cryptography services that enhance privacy and security on public blockchains by distributing operations across independent nodes. Threshold Network Threshold Network Powered by the T token, users can stake and operate nodes to support key services like tBTC, a Bitcoin bridge, and TACo, an access control tool. By minimizing reliance on centralized entities, Threshold ensures trustless, secure, and privacy-focused solutions for decentralized applications in the evolving Web 3.0 landscape. To learn more, please visit: https://threshold.network/ https://threshold.network/ https://threshold.network/ About EigenLayer: EigenLayer is a protocol built on Ethereum that pioneered restaking, a new primitive in cryptoeconomic security. Through a system of interconnected smart contracts, any ERC-20 token, such as tBTC, can be "restaked" to participate in not one, but any number of Actively Validated Services (AVSs) in exchange for fees and/or rewards. Operators opt into these opportunities by running additional node software and in some cases grant the EigenLayer smart contracts the ability to impose additional slashing conditions on their assets as specified by the AVS. Contact M Group on Behalf of Threshold tkaufmann@mgroupsc.com This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here This story was distributed as a release by Chainwire under HackerNoon’s Business Blogging Program. Learn more about the program here here

tBTC Becomes The First Incentivized BTC Asset On EigenLayer

tBTC става първият стимулиран BTC актив на EigenLayer

tBTC se convierte en el primer activo BTC incentivado en EigenLayer

tBTC به اولین دارایی BTC مشوق در لایه ویژه تبدیل می شود

tBTC convértese no primeiro activo BTC incentivado en EigenLayer

tBTC が EigenLayer 初のインセンティブ付き BTC 資産に

tBTC ხდება პირველი სტიმულირებული BTC აქტივი EigenLayer-ზე

tBTC ក្លាយជាទ្រព្យសម្បត្តិ BTC ដែលត្រូវបានលើកទឹកចិត្តជាលើកដំបូងនៅលើ EigenLayer

tBTC EigenLayer боюнча биринчи демделген BTC активи болуп калды

tBTC EigenLayer मा पहिलो प्रोत्साहन BTC सम्पत्ति बन्छ

tBTC EigenLayer-de ilkinji höweslendirilen BTC aktiwine öwrülýär

tBTC Yi Va Nhundzu Yo Sungula Ya BTC Leyi Hlohloteriweke Eka EigenLayer

I-tBTC Iba Impahla Ye-BTC Yokuqala Ekhuthaziwe Ku-EigenLayer

Community is an essential part of any project, company, or product. Today, it’s a crucial driving power behind success. In this article, I want to discuss the principles of community-driven organizations and share some personal experiences in managing a community. A while ago, my company launched a decentralized autonomous organization (DAO) project that quickly accumulated an active group of followers. It was almost an overnight success, as we woke up to dozens of messages from eager users. Unfortunately, that project didn’t take off, but it left me with some experience and knowledge to share. DAOs And Their Purpose DAOs offer an alternative to centralized governance models. They employ a horizontal structure in which there is no central authority, and all decisions regarding the functionality of the entity are made by voting. In a previous article, I've written a more detailed overview of what DAOs are and how they function. But the main takeaway is that a blockchain allows the community to become the de-facto board of directors instead of a group of leaders making all the decisions. The obvious application for governing communities isn’t the only one. There has already been talk about experimental DAO cities and dreams of DAO-run governments. Still, despite DAO being a self-governing organism, any community requires management, so they still require a team behind the project. The Power Of Anonymity When the governing organ is the community itself, a reasonable question comes to mind: Who watches the community? Usually, you can model the behavioral patterns of any large group on a smaller one. I could write a whole chapter dedicated to the errors and lessons learned in attempting to handle an online community, and it would need to be underlined that an anonymous online group is much harder to navigate than an offline one. An anonymous user has no fear of consequences. Hiding their true identity protects them from any responsibility. At the same time, these users can very much be one of the deciding votes in the community. Quality community management is essential in these cases. As any customer-managed relationship (CMR) handbook explains, you have to be both discreet and influential to efficiently control fear, uncertainty, and doubt **(**FUD) and troll activity on the platform. The Do’s And Don't’s There’s a considerable amount of work that has to go into making a community better. You will certainly aim to please everyone, and it’s vital to remember that this isn’t always possible. There are always individuals, disappointed with your performance—whether or not you are doing what’s best for the project or the users. Here are a few factors to keep in mind. Liaison First and foremost, you need a skilled and experienced community manager, a person who knows how to keep the people engaged and active, answer their questions and steer them in a productive direction. This is necessary because every community desires a large amount of attention, and there is no way for the developers to provide that much attention. It’s either work on a project or work with the community. That’s why a designated liaison between the two entities is a must-have. Information Your users must remain informed. If the decision-making lies in their hands, they should possess all the necessary information. So don’t share only the good news—keep your "board of directors" up-to-date on negative issues as well. This is important for another reason: People don’t tend to trust projects that are all pros and no cons. To any experienced user, that would reek of a scam. Assistance A huge part of maintaining a healthy community is asking for help from said community. You might know best what works from a technical side, but you have to remember who your user is. And if you have direct access to them, you should take advantage of that access. Even if the DAO voters influence major decisions, there are dozens of smaller ones, too. Your best bet is to include the community in as many processes as possible. Still, remember that they aren’t always correct: Learn from the feedback, but use your judgment to offer the options you are confident will work and improve the product. FUD And Trolls There will always be people who spread fear, uncertainty, and doubt. You can’t win with these users, but they have the power to turn any bit of information, or even your community, against you. There are several approaches to dealing with them, from the toughest one—i.e., ban hammer—to deep personal involvement and attempts to change their view of your project. On this subject, everyone has to choose for themselves. Whatever your decision is, accept the fact that there will be damage. And all I can say is, be prepared to make tough choices. The Key To Everything The main takeaway from my own experience dealing with communities is that empathy is the key. On each step, in the world of total anonymity, understanding that there is a human being on the other side of the conversation is crucial to success. Trying to connect with that human instead of an empty avatar is what we do to make sure that whatever it is we’re doing means something to someone. We show empathy, and we receive it in return. And here is the most interesting part: One has to show empathy not just to their users, but to themselves. As a leader or a manager of a project, you have an enormous amount of responsibility. You will make mistakes and learn from them. But you have to realize that this is part of the process. Follow me on LinkedIn. Check out my website. Community is an essential part of any project, company, or product. Today, it’s a crucial driving power behind success. In this article, I want to discuss the principles of community-driven organizations and share some personal experiences in managing a community. A while ago, my company launched a decentralized autonomous organization (DAO) project that quickly accumulated an active group of followers. It was almost an overnight success, as we woke up to dozens of messages from eager users. Unfortunately, that project didn’t take off, but it left me with some experience and knowledge to share. DAOs And Their Purpose DAOs offer an alternative to centralized governance models. They employ a horizontal structure in which there is no central authority, and all decisions regarding the functionality of the entity are made by voting. In a previous article , I've written a more detailed overview of what DAOs are and how they function. But the main takeaway is that a blockchain allows the community to become the de-facto board of directors instead of a group of leaders making all the decisions. previous article The obvious application for governing communities isn’t the only one. There has already been talk about experimental DAO cities and dreams of DAO-run governments . Still, despite DAO being a self-governing organism, any community requires management, so they still require a team behind the project. experimental DAO cities DAO-run governments The Power Of Anonymity When the governing organ is the community itself, a reasonable question comes to mind: Who watches the community? Usually, you can model the behavioral patterns of any large group on a smaller one. I could write a whole chapter dedicated to the errors and lessons learned in attempting to handle an online community, and it would need to be underlined that an anonymous online group is much harder to navigate than an offline one. An anonymous user has no fear of consequences. Hiding their true identity protects them from any responsibility. At the same time, these users can very much be one of the deciding votes in the community. Quality community management is essential in these cases. As any customer-managed relationship (CMR) handbook explains, you have to be both discreet and influential to efficiently control fear, uncertainty, and doubt **(**FUD) and troll activity on the platform. The Do’s And Don't’s There’s a considerable amount of work that has to go into making a community better. You will certainly aim to please everyone, and it’s vital to remember that this isn’t always possible. There are always individuals, disappointed with your performance—whether or not you are doing what’s best for the project or the users. Here are a few factors to keep in mind. Liaison First and foremost, you need a skilled and experienced community manager, a person who knows how to keep the people engaged and active, answer their questions and steer them in a productive direction. This is necessary because every community desires a large amount of attention, and there is no way for the developers to provide that much attention. It’s either work on a project or work with the community. That’s why a designated liaison between the two entities is a must-have. Information Your users must remain informed. If the decision-making lies in their hands, they should possess all the necessary information. So don’t share only the good news—keep your "board of directors" up-to-date on negative issues as well. This is important for another reason: People don’t tend to trust projects that are all pros and no cons. To any experienced user, that would reek of a scam. Assistance A huge part of maintaining a healthy community is asking for help from said community. You might know best what works from a technical side, but you have to remember who your user is. And if you have direct access to them, you should take advantage of that access. Even if the DAO voters influence major decisions, there are dozens of smaller ones, too. Your best bet is to include the community in as many processes as possible. Still, remember that they aren’t always correct: Learn from the feedback, but use your judgment to offer the options you are confident will work and improve the product. FUD And Trolls There will always be people who spread fear, uncertainty, and doubt. You can’t win with these users, but they have the power to turn any bit of information, or even your community, against you. There are several approaches to dealing with them, from the toughest one—i.e., ban hammer—to deep personal involvement and attempts to change their view of your project. On this subject, everyone has to choose for themselves. Whatever your decision is, accept the fact that there will be damage. And all I can say is, be prepared to make tough choices. The Key To Everything The main takeaway from my own experience dealing with communities is that empathy is the key. On each step, in the world of total anonymity, understanding that there is a human being on the other side of the conversation is crucial to success. Trying to connect with that human instead of an empty avatar is what we do to make sure that whatever it is we’re doing means something to someone. We show empathy, and we receive it in return. And here is the most interesting part: One has to show empathy not just to their users, but to themselves. As a leader or a manager of a project, you have an enormous amount of responsibility. You will make mistakes and learn from them. But you have to realize that this is part of the process. Follow me on LinkedIn . Check out my website . LinkedIn website

The Role Of Empathy In Building Strong DAO Communities

OpenCitations Meta: Conclusion, Acknowledgements, and References

OpenCitations Meta: উপসংহার, স্বীকৃতি, এবং রেফারেন্স

OpenCitations Meta: Schlussfolgerung, Danksagungen und Referenzen

Meta de OpenCitations: conclusión, agradecimientos y referencias

Méta OpenCitations : conclusion, remerciements et références

ओपनसाइटेशन्स मेटा: निष्कर्ष, आभार और संदर्भ

OpenCitations Meta: 結論、謝辞、参考文献

OpenCitations Meta: 결론, 감사의 말, 참고 문헌

OpenCitations Meta: Conclusão, Agradecimentos e Referências

Мета OpenCitations: заключение, благодарности и ссылки

OpenCitations Meta: Sonuç, Teşekkür ve Referanslar

OpenCites Meta: Kết luận, Lời cảm ơn và Tài liệu tham khảo

OpenCitations Meta：结论、致谢和参考文献

Addressing the issue regarding identification and annotation of inappropriate content in text calls for maintaining and securing a respectful online environment. It also involves detecting explicit and implicit hate speech. Hence, improper language or hate speech detection plays a significant role in online conversations. The collection and annotation of data for training automatic classifiers for detecting hate speech is a daunting task as it involves evaluating several hate speech detection systems. As of date, it is a difficult task to detect hate speech as there is no standard definition of hate speech.This results in creation of datasets which are not just from different sources, but also capture varied information. This makes it very tough to gain direct access to hate speech given the nuances and subtleties in language. Understanding Hate Speech According to the United Nations Strategy and Plan of Action on Hate Speech, hate speech can be defined as, “any kind of communication in speech, writing or behaviour, that attacks or uses pejorative or discriminatory language with reference to a person or a group on the basis of who they are, in other words, based on their religion, ethnicity, nationality, race, colour, descent, gender or other identity factor.” Detecting Hate Speech The Internet nowadays is flooded with toxic and harmful content. The increase in number of social network users have resulted in the rapid spread of toxic content. There are many definitions of toxic content on social network like hate speech, deceptive news, cyber bullying, abusive and toxic language, and sarcasm. Hence, to limit the number of toxic comments and harassment posts, social network moderators require assistance from computers. Computers are also used for automatically detecting and identifying content that’s toxic. Recently, machine learning is also being used for detecting hate speech in texts. It involves employing machine learning techniques to classify text as hate speech. A key limitation with these approaches is with respect to decisions that can be made (opaque and tough) making it difficult for humans to know the reason why it was made. The three major stumbling blocks in annotating text consisting of hate speech are as outlined below: Defining hate speech: Since there is no clear definition of hate speech, it helps one to study it to enable easy annotation. This results in annotation that’s much more reliable. However, since there is a blurred line between hate speech and free expression, defining hate speech becomes impossible. Datasets: It is very difficult to collect and annotate data for training automatic classifiers to detect hate speech. Especially, if the identification and agreement to a particular hate speech is tough in the absence of a standard definition of hate speech. Apart from the above, social media platforms are flooded with hate speech, but most have stringent data usage and distribution policies resulting in very few number of datasets for the public to study, a majority of it coming from Twitter as it has a relatively lenient policy. Automated approaches to hate speech detection: Many social media platforms come with set user rules which ban hate speech. Hence, the enforcement of these rules require hard manual labor of reviewing every report. Also, off late, platforms like Facebook have increased the number of content moderators. Automated tools and approaches can hasten the reviewing process or allocation of human resource to the posts which require close human examination. i). Keyword-based approaches: These are quick and direct to comprehend, but they come with serious drawbacks. The detection of racial slurs will lead to highly precise systems with low recall. Also, systems relying mainly on keywords will be unable to identify hateful content which does not utilise these terms. On the contrary, inclusion of terms which may be or may not always be hateful like trash, swine, etc. can result in creating way too many false alarms, increase in recall at the cost of precision. Apart from this, the above approaches are unable to identify hate speech that does not contain hateful keywords. ii). Source metadata: Extra information from social media can assist in further understanding the characteristics of the posts and result in an enhanced identification approach. Hence, information like demographics of the posting like user, location, timestamp or social engagement on the platform can offer a better know-how of the post at a granular level. This information is not handy to external researchers as publishing of data which contains user information can raise privacy issues. External researchers can have only a part or none of the user information. iii). Machine learning classifiers: Machine learning models obtain samples of labeled text for producing a classifier which can detect hate speech as per labels annotated by content reviewers. Many models were put forth and proven to be successful in the past. iv). Content pre-processing and feature selection: The identification and classification of user generated content involves extraction of text which indicate hate. Hence, hate speech is seen as a societal issue that calls for an automatic hate speech detection system. There are current approaches along with a new system for achieving a reasonable level of accuracy. A new approach has also been proposed for outperforming existing systems at this task along with the added benefit of enhanced interpret-ability. Addressing the issue regarding identification and annotation of inappropriate content in text calls for maintaining and securing a respectful online environment. It also involves detecting explicit and implicit hate speech. Hence, improper language or hate speech detection plays a significant role in online conversations. The collection and annotation of data for training automatic classifiers for detecting hate speech is a daunting task as it involves evaluating several hate speech detection systems. As of date, it is a difficult task to detect hate speech as there is no standard definition of hate speech.This results in creation of datasets which are not just from different sources, but also capture varied information. This makes it very tough to gain direct access to hate speech given the nuances and subtleties in language. Understanding Hate Speech According to the United Nations Strategy and Plan of Action on Hate Speech, hate speech can be defined as, “any kind of communication in speech, writing or behaviour, that attacks or uses pejorative or discriminatory language with reference to a person or a group on the basis of who they are, in other words, based on their religion, ethnicity, nationality, race, colour, descent, gender or other identity factor.” Detecting Hate Speech The Internet nowadays is flooded with toxic and harmful content. The increase in number of social network users have resulted in the rapid spread of toxic content. There are many definitions of toxic content on social network like hate speech, deceptive news, cyber bullying, abusive and toxic language, and sarcasm. Hence, to limit the number of toxic comments and harassment posts, social network moderators require assistance from computers. Computers are also used for automatically detecting and identifying content that’s toxic. Recently, machine learning is also being used for detecting hate speech in texts. It involves employing machine learning techniques to classify text as hate speech. A key limitation with these approaches is with respect to decisions that can be made (opaque and tough) making it difficult for humans to know the reason why it was made. The three major stumbling blocks in annotating text consisting of hate speech are as outlined below: Defining hate speech: Since there is no clear definition of hate speech, it helps one to study it to enable easy annotation. This results in annotation that’s much more reliable. However, since there is a blurred line between hate speech and free expression, defining hate speech becomes impossible. Defining hate speech: Since there is no clear definition of hate speech, it helps one to study it to enable easy annotation . This results in annotation that’s much more reliable. However, since there is a blurred line between hate speech and free expression, defining hate speech becomes impossible. Defining hate speech: enable easy annotation Datasets: It is very difficult to collect and annotate data for training automatic classifiers to detect hate speech. Especially, if the identification and agreement to a particular hate speech is tough in the absence of a standard definition of hate speech. Apart from the above, social media platforms are flooded with hate speech, but most have stringent data usage and distribution policies resulting in very few number of datasets for the public to study, a majority of it coming from Twitter as it has a relatively lenient policy. Datasets: It is very difficult to collect and annotate data for training automatic classifiers to detect hate speech. Especially, if the identification and agreement to a particular hate speech is tough in the absence of a standard definition of hate speech. Apart from the above, social media platforms are flooded with hate speech, but most have stringent data usage and distribution policies resulting in very few number of datasets for the public to study, a majority of it coming from Twitter as it has a relatively lenient policy. Datasets: Automated approaches to hate speech detection: Many social media platforms come with set user rules which ban hate speech. Hence, the enforcement of these rules require hard manual labor of reviewing every report. Also, off late, platforms like Facebook have increased the number of content moderators. Automated tools and approaches can hasten the reviewing process or allocation of human resource to the posts which require close human examination. Automated approaches to hate speech detection: Many social media platforms come with set user rules which ban hate speech. Hence, the enforcement of these rules require hard manual labor of reviewing every report. Also, off late, platforms like Facebook have increased the number of content moderators. Automated tools and approaches can hasten the reviewing process or allocation of human resource to the posts which require close human examination. Automated approaches to hate speech detection: Many social media platforms come with set user rules which ban hate speech. Hence, the enforcement of these rules require hard manual labor of reviewing every report. Also, off late, platforms like Facebook have increased the number of content moderators. Automated tools and approaches can hasten the reviewing process or allocation of human resource to the posts which require close human examination. Automated approaches to hate speech detection: i). Keyword-based approaches: These are quick and direct to comprehend, but they come with serious drawbacks. The detection of racial slurs will lead to highly precise systems with low recall. Also, systems relying mainly on keywords will be unable to identify hateful content which does not utilise these terms. On the contrary, inclusion of terms which may be or may not always be hateful like trash, swine, etc. can result in creating way too many false alarms, increase in recall at the cost of precision. Apart from this, the above approaches are unable to identify hate speech that does not contain hateful keywords. i). Keyword-based approaches: ii). Source metadata: Extra information from social media can assist in further understanding the characteristics of the posts and result in an enhanced identification approach. Hence, information like demographics of the posting like user, location, timestamp or social engagement on the platform can offer a better know-how of the post at a granular level. This information is not handy to external researchers as publishing of data which contains user information can raise privacy issues. External researchers can have only a part or none of the user information. ii). Source metadata: iii). Machine learning classifiers: Machine learning models obtain samples of labeled text for producing a classifier which can detect hate speech as per labels annotated by content reviewers. Many models were put forth and proven to be successful in the past. iii). Machine learning classifiers: iv). Content pre-processing and feature selection: The identification and classification of user generated content involves extraction of text which indicate hate. Hence, hate speech is seen as a societal issue that calls for an automatic hate speech detection system. There are current approaches along with a new system for achieving a reasonable level of accuracy. A new approach has also been proposed for outperforming existing systems at this task along with the added benefit of enhanced interpret-ability. iv). Content pre-processing and feature selection:

The Stumbling Blocks in Annotating Text Containing Hate Speech

This paper is available on arxiv under CC 4.0 license.
Authors:
(1) Mykola Makhortykh, Institute of Communication and Media Studies, University of Bern;
(2) Aleksandra Urman, Social Computing Group, University of Zurich;
(3) Roberto Ulloa, GESIS – Leibniz-Institute for the Social Sciences. Table of Links Author Note Abstract Theoretical background Methodology Findings Conclusion and References Abstract In today’s high-choice media environment, search engines play an integral role in informing individuals and societies about the latest events. The importance of search algorithms is even higher at the time of crisis, when users search for information to understand the causes and the consequences of the current situation and decide on their course of action. In our paper, we conduct a comparative audit of how different search engines prioritize visual information related to COVID-19 and what consequences it has for the representation of the pandemic. Using a virtual agent-based audit approach, we examine image search results for the term “coronavirus” in English, Russian and Chinese on five major search engines: Google, Yandex, Bing, Yahoo, and DuckDuckGo. Specifically, we focus on how image search results relate to generic news frames (e.g., the attribution of responsibility, human interest, and economics) used in relation to COVID-19 and how their visual composition varies between the search engines. Keywords: search engine, algorithm audit, COVID, framing, news frames, Google, image search, visual communication In today’s “high-choice” (Van Aelst et al. 2017) media environment, search engines such as Google play an integral role in informing individuals about important societal developments. Together with social media and news aggregators, search engines increasingly become a major pathway to finding and engaging with the latest news (Newman et al. 2019) and historical information used to contextualize these recent developments (Zavadski and Toepfl 2019; Makhortykh, Urman and Ulloa 2021). Using complex algorithms, search engines filter and rank sources to counter the information overload and supply their users with the most relevant content. By prioritizing certain sources and judging how relevant a particular piece of information is, search engines serve as informationgatekeepers (Laidlaw 2010) that structure individual and collective knowledge about the subjects varying from elections (Trielli and Diakopoulos 2022) to diseases (Paramita et al. 2021) to the matters of gender and race (Urman, Makhortykh and Ulloa 2022). The gatekeeping functions of search engines translate into their substantial influence on different aspects of contemporary societies, in particular the ones related to information literacy (van Dijk 2010). This influence varies from search engines’ information ranking affecting undecided voter preferences (Epstein and Robertson 2015) to their algorithmically constructed knowledge hierarchies reinforcing gender and racial stereotypes (Noble 2018; Urman and Makhortykh 2022). The functionality of search engines becomes particularly important at times of crises, when the need to create new hierarchies of knowledge in the face of uncertainty often leads to a state of “epistemic instability” (Harambam 2020) where the authoritative sources of truth are challenged, and alternative interpretations thrive. Under such conditions, filtering and ranking mechanisms used by search engines play an integral role in determining how individuals and societies understand the causes and the consequences of the current situation and decide on their course of action. In this chapter, we look at how the above-mentioned complexities of information distribution via search engine algorithms affect pandemic literacy during the COVID-19 crisis. Understanding pandemic literacy as the ability to locate and effectively use information related to health threats associated with widespread epidemic diseases, we examine how search engines can facilitate, but also impede the ability of individuals and societies to stay informed about the COVID-19 pandemic. Specifically, we investigate the visual aspect of pandemic literacy by looking at visual representations of COVID-19 constructed by five major search engines in February 2020. Our interest in COVID-19 is characterized by the profound epistemic crisis experienced in relation to the pandemic and amplified by the intense use of digital media for disseminating false information about the disease (Allem 2020). By scrutinizing how search engines represent the pandemic, we strive to advance the understanding of their role at the time of epistemic instability and how search engines construct knowledge hierarchies in relation to a new and highly contradictory phenomenon. Our decision to focus on the visual representation of COVID-19 by search engines as contrasted to its textual representation that was examined in earlier studies (e.g. Makhortykh, Urman, and Ulloa 2020; Toepfl, Kravets, Ryzhova and Beseler 2022) is attributed to images as an effective means of communicating complex phenomena, in particular those that are hard to express verbally (Bleiker 2018). Images also stir strong emotional responses that make them a potent catalyst of societal mobilization but also result in their frequent abuse for manipulating public opinion (Ruijgrok 2017). To investigate how search engines represent and interpret COVID-19 visually, we combined qualitative analysis of visual frames—i.e., consistent patterns of selecting some aspects of the perceived reality and making them more salient (Entman 1993)—with quantitative techniques of algorithmic auditing used to investigate the functionality and impact of “decision-making algorithms” (Mittelstadt 2016). Utilizing a novel method of algorithmic auditing to extract visual search results, we compared the use of generic news frames (e.g., the attribution of responsibility, human interest, and economics; Semetko and Valkenburg 2000) for framing COVID-19 on five search engines: Google, Bing, Yahoo, Yandex and DuckDuckGo in English, Russian, and Mandarin Chinese. While doing so, we specifically investigated the following three research questions: How different/similar is the representation of COVID-19 via search engines compared with framing of earlier pandemics in legacy media? What types of news frames were prevalent in the representation and interpretation of COVID- 19? And are there substantial differences in the representation of COVID-19 among different search engines and languages? This paper is available on Arxiv under CC 4.0 license. This paper is available on arxiv under CC 4.0 license. Authors: (1) Mykola Makhortykh, Institute of Communication and Media Studies, University of Bern; (2) Aleksandra Urman, Social Computing Group, University of Zurich; (3) Roberto Ulloa, GESIS – Leibniz-Institute for the Social Sciences. This paper is available on arxiv under CC 4.0 license. Authors: (1) Mykola Makhortykh, Institute of Communication and Media Studies, University of Bern; (2) Aleksandra Urman, Social Computing Group, University of Zurich; (3) Roberto Ulloa, GESIS – Leibniz-Institute for the Social Sciences. Table of Links Author Note Author Note Abstract Abstract Theoretical background Theoretical background Methodology Methodology Findings Findings Conclusion and References Conclusion and References Abstract In today’s high-choice media environment, search engines play an integral role in informing individuals and societies about the latest events. The importance of search algorithms is even higher at the time of crisis, when users search for information to understand the causes and the consequences of the current situation and decide on their course of action. In our paper, we conduct a comparative audit of how different search engines prioritize visual information related to COVID-19 and what consequences it has for the representation of the pandemic. Using a virtual agent-based audit approach, we examine image search results for the term “coronavirus” in English, Russian and Chinese on five major search engines: Google, Yandex, Bing, Yahoo, and DuckDuckGo. Specifically, we focus on how image search results relate to generic news frames (e.g., the attribution of responsibility, human interest, and economics) used in relation to COVID-19 and how their visual composition varies between the search engines. Keywords: search engine, algorithm audit, COVID, framing, news frames, Google, image search, visual communication In today’s “high-choice” (Van Aelst et al. 2017) media environment, search engines such as Google play an integral role in informing individuals about important societal developments. Together with social media and news aggregators, search engines increasingly become a major pathway to finding and engaging with the latest news (Newman et al. 2019) and historical information used to contextualize these recent developments (Zavadski and Toepfl 2019; Makhortykh, Urman and Ulloa 2021). Using complex algorithms, search engines filter and rank sources to counter the information overload and supply their users with the most relevant content. By prioritizing certain sources and judging how relevant a particular piece of information is, search engines serve as informationgatekeepers (Laidlaw 2010) that structure individual and collective knowledge about the subjects varying from elections (Trielli and Diakopoulos 2022) to diseases (Paramita et al. 2021) to the matters of gender and race (Urman, Makhortykh and Ulloa 2022). The gatekeeping functions of search engines translate into their substantial influence on different aspects of contemporary societies, in particular the ones related to information literacy (van Dijk 2010). This influence varies from search engines’ information ranking affecting undecided voter preferences (Epstein and Robertson 2015) to their algorithmically constructed knowledge hierarchies reinforcing gender and racial stereotypes (Noble 2018; Urman and Makhortykh 2022). The functionality of search engines becomes particularly important at times of crises, when the need to create new hierarchies of knowledge in the face of uncertainty often leads to a state of “epistemic instability” (Harambam 2020) where the authoritative sources of truth are challenged, and alternative interpretations thrive. Under such conditions, filtering and ranking mechanisms used by search engines play an integral role in determining how individuals and societies understand the causes and the consequences of the current situation and decide on their course of action. In this chapter, we look at how the above-mentioned complexities of information distribution via search engine algorithms affect pandemic literacy during the COVID-19 crisis. Understanding pandemic literacy as the ability to locate and effectively use information related to health threats associated with widespread epidemic diseases, we examine how search engines can facilitate, but also impede the ability of individuals and societies to stay informed about the COVID-19 pandemic. Specifically, we investigate the visual aspect of pandemic literacy by looking at visual representations of COVID-19 constructed by five major search engines in February 2020. Our interest in COVID-19 is characterized by the profound epistemic crisis experienced in relation to the pandemic and amplified by the intense use of digital media for disseminating false information about the disease (Allem 2020). By scrutinizing how search engines represent the pandemic, we strive to advance the understanding of their role at the time of epistemic instability and how search engines construct knowledge hierarchies in relation to a new and highly contradictory phenomenon. Our decision to focus on the visual representation of COVID-19 by search engines as contrasted to its textual representation that was examined in earlier studies (e.g. Makhortykh, Urman, and Ulloa 2020; Toepfl, Kravets, Ryzhova and Beseler 2022) is attributed to images as an effective means of communicating complex phenomena, in particular those that are hard to express verbally (Bleiker 2018). Images also stir strong emotional responses that make them a potent catalyst of societal mobilization but also result in their frequent abuse for manipulating public opinion (Ruijgrok 2017). To investigate how search engines represent and interpret COVID-19 visually, we combined qualitative analysis of visual frames—i.e., consistent patterns of selecting some aspects of the perceived reality and making them more salient (Entman 1993)—with quantitative techniques of algorithmic auditing used to investigate the functionality and impact of “decision-making algorithms” (Mittelstadt 2016). Utilizing a novel method of algorithmic auditing to extract visual search results, we compared the use of generic news frames (e.g., the attribution of responsibility, human interest, and economics; Semetko and Valkenburg 2000) for framing COVID-19 on five search engines: Google, Bing, Yahoo, Yandex and DuckDuckGo in English, Russian, and Mandarin Chinese. While doing so, we specifically investigated the following three research questions: How different/similar is the representation of COVID-19 via search engines compared with framing of earlier pandemics in legacy media? What types of news frames were prevalent in the representation and interpretation of COVID- 19? And are there substantial differences in the representation of COVID-19 among different search engines and languages? This paper is available on Arxiv under CC 4.0 license. Arxiv Arxiv

This Is How the Covid-19 Pandemic Looks Like

Authors: (1) Renato P. dos Santos, CIAGE – Centre for Generative Artificial Intelligence in Cognition and Education. Table of Links Abstract and Introduction Materials And Methods Results and Analyses Prompts and generated texts Conceptualizing chemical reactions Deepening on understanding of chemical reactions Question about combustion Question about a graph of gases turning into water over time Question about the difference between atoms, molecules, and moles Deepening on the concept of mole Question about changing of state Question about an animated representation of water molecules undergoing phase changes Question about plasma, a state of matter Question about chemical bondings Question about illustration of chemical bonds Question about the essence of the type of chemical bonding Further analysis Conclusions Limitations of the study and possible future studies Author Contributions, Conflicts of interest, Acknowledgements, and References Question about an animated representation of water molecules undergoing phase changes *: hmmm. you made a nice graph before. Could you build something more dynamic than a static diagram, an animated representation of water molecules undergoing phase changes?* P1 *: Got it! Creating an animated representation of water molecules undergoing phase changes requires defining the behavior of the molecules for each phase and then transitioning between these phases.* ChatGPT I'll follow these steps: 1. Represent the molecules as small circles. 2. Define their behavior in the solid phase. 3. Transition to the melting phase. 4. Define behavior in the liquid phase. 5. Transition to the boiling phase. 6. Define behavior in the gas phase. 7. Compile these animations into a continuous GIF. [Some internal code working] Here's the animated representation of water molecules undergoing phase changes: Here's the animated representation of water molecules undergoing phase changes: 1. Solid (Ice): Molecules are closely packed and vibrating in place. 2. Melting: Molecules start to move more freely but remain close. 3. Liquid (Water): Molecules move more fluidly and slide past each other. 4. Boiling: Molecules gain energy and move more rapidly. 5. Gas (Steam): Molecules spread out and move freely and rapidly. You can download the GIF here. [link provided] *: Sure, I can try to create an animated representation of water molecules undergoing phase changes. I found some web simulations that show how different types of molecules form a solid, liquid, or gas, and how they change their state when heat is added or removed [ ]. Youcan also change the temperature or volume of a container and see a pressure-temperature diagram respond in real time [ ]. These simulations might help you understand the molecular behavior of water in different phases.* BingChat 123 1 *: Sure. Here is a simple animated representation of water molecules undergoing phase changes:* Bard [Animated GIF of water molecules undergoing phase changes] The animation shows two groups of water molecules. The group on the left is in the liquid phase, and the group on the right is in the gas phase. The animation starts with the water molecules in the liquid phase. The water molecules are close together and interacting with each other. As the animation progresses, some of the water molecules in the liquid phase gain enough energy to overcome the forces that are holding them together. These water molecules escape from the liquid phase and form the gas phase. The water molecules in the gas phase are far apart and not interacting with each other. The animation also shows how water molecules can condense from the gas phase to the liquid phase. When a water molecule in the gas phase loses energy, it can attract to other water molecules and form a liquid droplet. The animation can be used to illustrate the different phase changes of water, such as melting, boiling, evaporation, and condensation. I hope this is helpful! *: Sure, animated visualizations can be really helpful for understanding dynamic processes like phase changes! Here is a simple animated illustration showing water molecules in different states:* Claude In this animation: • The solid ice molecules are stationary and packed together • The liquid molecules flow and move closer together • The gas molecules bounce around freely at large distances To transition between states: • Heating causes more vigorous movement - melting ice or boiling water • Cooling causes slower movement - freezing water or condensing vapor Let me know if an animated illustration like this helps visualize the molecular differences between solids, liquids and gases! I can build more complex animations or use online tools to create interactive phase change simulations. Visuals can really aid understanding of physical chemistry concepts. was able to recur again to its Advanced Data Analysis resources to generate an animated GIF as an which, albeit a bit simple and crude, sufficiently illustrated the “water molecules undergoing phase changes” to provide . Furthermore, crafting an original GIF could be seen as . After promising “to create an animated representation”, opted to search the internet, offering links to “some web simulations” that “might help” understand the molecular behavior. This approach aligns with and . However, by leaning on pre-existing resources rather than crafting custom content, it could lessen the immediate and potentially diminish the . made an assurance to deliver “a simple animated representation” as a commitment to and Engagement & Interactivity, but this ultimately falls short as neither a visible animation nor a download link for such a GIF was provided. Meanwhile, while acknowledges that “Visuals can really aid understanding” and “animated visualizations can be really helpful” as , its attempt was limited to the of a static image, devoid of the requested animation or dynamic representation and lessening and . ChatGPT Instructional Strategies, Engagement & Interactivity Personalization & Personable Touch BingChat Instructional Strategies Detail Depth & Content Recommendation Engagement & Interactivity Personalization & Personable Touch Bard Instructional Strategies, Personalization & Personable Touch Claude Instructional Strategies Engagement & Interactivity Detail Depth & Content Recommendation This paper is under CC BY-SA 4.0 DEED license. available on arxiv

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