Ben Goessling covers the Vikings for the Star Tribune. He has covered the team since 2012, and has previously covered the Twins, Wild, Washington Nationals and prep sports. ben.goessling@startribune.com

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Once upon a time, in the early days of the internet, most people got their news from traditional sources such as television, radio, and print newspapers. However, as the internet began to grow and more people started to use it, a new type of news delivery emerged – online newspapers. The birth of online newspapers was not an overnight process. It was a gradual development that took place over several years. In the early days of the internet, only a handful of early adopters were online, and most of them were tech-savvy individuals who were interested in exploring the new technology. One of the first online newspapers was The Non-Profit Times, which was published in April 1987 and was a pioneer in the field of online journalism and paved the way for many other online newspapers to follow. The Non-Profit Times was a simple website that provided news and information to a small but growing audience of internet users. The launched online was The Columbus Dispatch on July 1, 1980. The other papers included: first newspaper ever The Washington Post The New York Times The Minneapolis Star Tribune The San Francisco Chronicle As more people started to use the internet, the demand for online news grew, and many traditional newspapers began to experiment with creating their own online editions. The first online edition of a traditional newspaper was The New York Times, which was launched in 1996. The New York Times was a major milestone in the history of online newspapers and showed that traditional newspapers could successfully transition to the digital world. Over the next several years, more and more newspapers launched online editions, and the quality of online journalism improved dramatically. Online newspapers began to feature interactive elements, such as videos, photos, and user-generated content, which made them more engaging and interactive than their traditional counterparts. The rise of online newspapers also had a major impact on the traditional newspaper industry. Many traditional newspapers struggled to adapt to the changing media landscape, and many of them went out of business as a result. However, the ones that survived and embraced the new technology emerged stronger and more resilient. Today, online newspapers are an essential part of the media landscape, and they continue to evolve and improve. They provide people with access to news and information from around the world, 24 hours a day, seven days a week. The birth of online newspapers was a major turning point in the history of journalism, and it changed the way people consume news and information forever. Online Newspapers Evolving in the Digital Age The evolution of online newspapers has been shaped by the rapid advancements in technology and the changing habits of news consumers in the digital age. Some of the key ways that online newspapers have evolved over the years include: : Online newspapers have incorporated more multimedia content such as videos, images, and audio into their articles, making them more engaging and interactive for readers. Increased multimedia content With the rise of smartphones and tablet devices, online newspapers have had to optimize their content for smaller screens and different forms of navigation. Mobile optimization: This has resulted in the development of mobile apps and responsive design to ensure a seamless reading experience on all devices. Online newspapers have embraced social media as a way to reach a wider audience and engage with their readers. Social media integration: They now use social media platforms like Twitter, Facebook, and Instagram to share breaking news, promote their content, and interact with their followers. With the abundance of data available online, online newspapers have started to use data-driven journalism to tell stories in new and innovative ways. Data journalism: This has led to the creation of interactive visualizations, data-driven articles, and other forms of data journalism. With the increasing use of data and machine learning, online newspapers have started to personalize their content for individual readers. Personalization: This means that each reader can receive a unique experience tailored to their interests, reading habits, and preferences. In response to the decline in advertising revenue, many online newspapers have moved towards subscription-based models where readers pay for access to their content. Subscription-based models: This allows online newspapers to monetize their content and maintain their independence from advertisers. Overall, the evolution of online newspapers in the digital age has been driven by technological advancements, changing reader habits, and the need to stay relevant in an increasingly competitive marketplace. Online newspapers continue to adapt and evolve, using new technologies and innovative techniques to reach and engage their readers. The Media Industry Meets Technology When the media industry meets technology, the result is often a transformation of the way news and information is produced, distributed, and consumed. Technology has had a profound impact on the media industry, enabling new forms of storytelling, facilitating the distribution of content to a global audience, and changing the business models that sustain media companies. Some examples of how technology has impacted the media industry include: Technology has made it possible to digitize media content, making it easier to store, access, and distribute. Digitalization of content: This has resulted in the creation of vast digital archives of news, entertainment, and information that can be accessed anywhere in the world. Social media platforms like Twitter, Facebook, and Instagram have disrupted traditional media by providing an alternative way for people to access news and information and for journalists to reach their audience. Social media: Social media has also created new opportunities for citizen journalism and community engagement. The rise of smartphones and other mobile devices has changed the way people , leading to the development of mobile-optimized websites and apps that allow people to access news and information on the go. Mobile technology: consume social media AI and machine learning are transforming the media industry by automating routine tasks, such as content curation and distribution, and by providing new ways of creating and presenting content, such as personalized news feeds and data-driven journalism. Artificial intelligence and machine learning: Virtual and augmented reality technologies are opening up new possibilities for storytelling and immersive journalism, allowing media companies to create new and engaging ways of experiencing news and information. Virtual and augmented reality: The joining of technology and the media industry has been a major driver of change and innovation. Technology has enabled new forms of journalism, improved the distribution of content, and transformed the way that media companies do business. The on the media industry will continue to evolve, and it is likely that new innovations and technologies will emerge in the years to come. impact of technology In conclusion, the birth of online newspapers was a slow and gradual process that took place over several years. However, it was a pivotal moment in the history of journalism and changed the media landscape forever. Today, online newspapers are an essential part of the media landscape, and they continue to evolve and improve, providing people with access to news and information from around the world.

The Birth Of Online Newspapers 

While the dark web has become synonymous with nefarious acts, there are positive encounters that take place there too. It's not all hackers and shared login credentials. If anything, its users put forth an extreme focus on privacy and also may be reliant on it if they live in an area where censorship is an issue -- these are positive reasons for use. That said, criminal acts still take place there. Most recently, . 73.2 million user records were placed for sale About 30 million come from the dating app Zoosk, while 15 million are from the printing service Chatbooks. The rest come from a variety of sites, including the newspaper (1 million), South Korean fashion and furniture sites (8 million total) and the Chronicle of Higher Education (3 million). ( ) Star Tribune source These numbers matter. To put in perspective, There's a real need to protect consumers, business owners and others from online attacks. 60% of small and medium businesses close their doors six months after experiencing a cyber attack. It's no easy feat when trying to get to the source of mass hacking events and other criminal acts. Unlike the public version of the web, it's not as easy to detect where crimes originate, who is involved and how they're continuing to communicate. Social Links ( : ), an open source intelligence (OSINT) software vendor, just launched , a new tool for law enforcement and governing agencies around the world. It's a standalone analogue of the Social Links SaaS service and the new solution accumulates the experience of hundreds of law enforcement agencies around the world, including the majority of European countries. Disclaimer The author is a consultant for Social Links Social Links BOX One of the things that sets them apart from their competitors, is that there is no need for the cloud. In order for law enforcement and government agencies to be truly privatized, they need to ensure that their data collection stays in-house and in a closed loop - a must-have. “We have been listening to our customers’ ongoing needs and created the Social Links BOX based on those who require the storage of all data in a closed loop, explains Ivan Shkvarun, co-founder, Social Links. “Our partners need to automate their open-source investigations, but they cannot use cloud services. Our standalone product solves this problem: now all the power of our tools and all the methodological developments are at their disposal.” is a growing field and competitors are working diligently to set themselves apart -- including a priority on privacy, access and, of course, competitive pricing (although you can expect a costly service for the type of access needed). Digital forensics Open sources frequently change their formats, operating rules and interfaces. Using a platform, like Social Links, allows clients have the ability to constantly monitor these changes and make necessary adjustments. The ability to change at a similar pace is essential and will allow digital forensics to maintain a valuable place at the table. ( : ) Disclaimer The author is a consultant for Social Links

Digital Forensics: An Overview and Its Impact On Law Enforcement

The humble pie chart is no miracle worker, but surely it doesn’t deserve the constant barrage of hate mail and hatchet-job pieces it’s been subjected to. Take this one that has been making the rounds: What is wrong with this picture? Critics point out that for the same data, the pie charts look similar, even though the bar charts look different. Look, pie charts are simple creatures that tell simple stories. Those stories are about composition. Is my total made of many categories, or only a few? How are they distributed? Are they evenly distributed, or do a few categories dominate? With multiple pie charts, it’s about comparing these features. How similar are the shares of these categories? Do the same categories dominate in each instance, or do they change? That’s all there is to it. When you look at three pie charts and can’t tell much of a difference, the story isn’t that pie charts are bad, it’s that in those three instances, the composition is pretty similar! The poor pie did its simple and thankless job, you ingrates. No more, no less. chart Unconvinced? Let’s look at the cold, hard numbers: The overall difference is from graph A to graph C, and the largest shift in composition that occurred in a category is a whopping 6%! largest https://www.facebook.com/TinySnekComics/ In conclusion, the compositions remained very similar, so the pie charts look similar. The story that the pie chart told us holds up. Of course, the aspiring intellectual will point out that sometimes, small changes matter too. A modest proposal: if you really want to difference, why not difference? show plot I’m no , but after two minutes with Excel, this chart seems much more effective at conveying small differences. With better than the bar charts too! artiste data-to-ink ratio However, looking at this chart, you could be lead, perhaps, to believe that these five categories changed a lot in absolute terms from situation A to situation C. After all, look at how long the red bar is! Our ever-loyal friend, the pie chart, informs us otherwise. only What we’re seeing here is a continuum. It’s a metaphorical line along which we can move, one way or another, to trade off one benefit for another. It’s up to us to decide the tradeoff we want to make to serve the purpose we want best served. design The pie charts say that nothing changed much overall from A to C. The difference bar chart (I made this name up) says that red and black changed the most, but in opposite ways. Both of these are different statements derived from the same data, and both are true at the same time. The regular bar charts in the middle say a bit of both, but tells each story a bit less clearly than the others. Of course, if you want to compare categories across separate instances, you might as well put the categories you want to compare closer to each other: Three reds look odd side by side, so I colored them differently here. Here, it’s easier to see that the Red category went up, the Black category went down, and the Green category didn’t change much from A to C. I’d place this version similarly to the middle barchart, but closer to the left on the continuum — it’s easier to compare the same category across A, B and C, but at the expense of cross-category comparisons within each instance. Another point to be made is that perceptual troubles plague all kinds of charts, just in different ways. Much like Cardinal Richelieu, show me any chart and I can probably find a way to condemn it as confusing. We can effectively misuse type of chart depending on the characteristics of the data. Take, for example: any I definitely can’t tell whether red or black is larger, and I deleted the data, so no one will ever know. Another great (and well-known) example is electoral maps: Ray Grumney / Star Tribune The red looks huge, the blue looks tiny, but we know that overall Obama won in 2012. There’s ways to combat this by trading off geographical accuracy for size accuracy, like . 538’s neat electoral map Also, there are some things that mostly just have a net benefit. Consider: If your comparison of charts affords every beneficial feature to one type of chart, but removes common sense ones for others, that’s just not fair play. Here’s a situation in which pie charts might be OK. Imagine a company that’s holding elections for a leader across three locations. Looks like Person A was somehow competitive in both Boston and California. The race in Boston was very close, but in California there was another strong competitor, so there it was very close among three people. Somehow Person C had no influence in Boston, like person A and B did. Albuquerque just did its own thing, mostly unaffected by outsider candidates from Boston and California. So how come pie charts worked well in this situation, but not the other? I think it has to do with the of differences we’re trying to show. Here we’re showing characteristic differences —we might expect that there’s some strong relationship between people and the locations they influence, and thus good variance when we look across these. If we have data where everything mostly looks the same, it’s not going to work out. kinds Here’s another situation where this works well: when looking at questionnaire results across categories. We see that of the people who enjoy outdoor activities, most are dog owners. Simple and clear. So if you want to complain about something, complain about the rampant misuse of charts instead. No chart type is good at everything, and charting tools can’t read our minds yet. Pick the chart type that tells your story best, and ameliorates the pitfalls that you want to avoid. Pie charts are OK. They existed before most of us, and they’ll probably outlive all of us. When we finally read the climate-driven death sentence of our planet in a 100-page report, it will probably have pie charts. So enjoy your artisanal donut charts and your home-baked square pie charts while you can, hipsters. Just kidding. Till then though, you can find me putting gold stars on every good little pie chart I encounter. Lay off it, friends!

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