I-Internet ayikwazanga kakhulu, kodwa abantu kwi-intanethi ayikwazanga kakhulu. Yenza isicelo ye-app, kwaye i-feed yakho i-wall ye-advertisements, i-viral clips, i-AI-generated faces, kunye ne-hyper-polished kodwa izibuyekezo, izibuyekezo zokusetyenziswa kwezilwanyana zangaphakathi zangaphakathi zangaphakathi zangaphakathi zangaphantsi. “iinkcukacha” Ndingathanda le mqengqeleki kwimeko yam. Timelines / feeds that were once full of birthdays, i-selfie ebuthayo, iifoto ze-cat / dog / food, kunye neengxaki ze-half-baked zithunyelwe ngoku ngexabiso, nangona wonke umntu ngokuhambisa. Uya kutyelela kwi-peak social media? Iinkcukacha ezidlulileyo zibonisa ukuba i-world ingaba kwangaphambili Okungenani ngexesha kunye ne-enthusiasm. Iimpazamo ze-social media Uhlalutyo olukhulu owenziwe ngu-The I-Digital Insights, i-GWI iye yasungula iimvavanyo ze-online ye-250,000 yabasetyhini ezininzi kwi-50 amazwe, kwaye ibonise ukuba ixesha elidlulileyo elidlulileyo kwi-social media iye yandipha kwi-2022, kwaye ukususela kwiminyaka engama-10%. I-Financial Times I-Financial Times Even after that drop,  Yintoni, nto leyo ingxaki emangalisayo. abantu kumazwe amaninzi abavela kwiiyure ezimbini kunye neenyanga ezimbini ngosuku kwi-social platforms Yintoni engapheliyo kakhulu Oku kutshintshisa ukuchithwa. Yintoni I-drop-off enzima kakhulu phakathi kwizigulane kunye nabasetyhini zayo, izigulane ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye ziye zibe. I-analytics efanayo ibonise ukuguqulwa okuzenzakalelayo abantu ukulungiselela le app: Ukusebenzisa i-social media ukuxhumana, ukuxhumana, okanye ukufumana abantu ezintsha iye yandiswa kakhulu ukususela ngo-2014, ngelixa ukulungiselela i-app kuphela "ukutshala ixesha" iye yandiswa. Yintoni Ngokutsho, i-social media ibonakala ngokunyanisileyo kwaye kubonakala njenge-high-end habits. Ukusuka kwi-oversharing ukuya kwi-posting zero. Iinyanga ezidlulileyo, ukuba ukhangela, i-feeds yaba i-chaotic kodwa i-human. Izixhobo ziye zithunyelwe iifoto zokutya ezimbini, iingcebiso ze-concerto, iigcebiso ze-gym, kunye neengcebiso ezininzi ezidlulileyo ezidlulileyo. Ndingathanda iintsuku zayo ze-college, xa abaninzi be-adolescents kunye namadoda basebenzise i-social media njenge-diary ye-default ye-existence yabo. Yintoni i-noisy kunye ne-unfiltered, kodwa ndingathanda ukuba ukhangela kwi-café ebandayo apho wonke umntu uqhagamshelane ngexesha elinye. Ngoku, abasebenzisi abaninzi abaninzi abaneminyaka embalwa abahlala kwi-Kyle Chayka umgangatho, nto leyo kufuneka kwakhona kwi-platforms, nangokunxibelelana, kodwa ngexesha lokubhalisa nayiphi na into malunga nenkonzo zabo . “ ” Ukubhalisa 0 (Ukuhlukaniswa ngokucacileyo kweemveliso) Ukubhalisa 0 Iingxaki zihlanganisa. Kukho umngcipheko olwandle ngempumelelo okanye backlash online. I-joke elihle okanye i-subtitle ebuthandayo ingathunyelwa kwi-screenshot, i-share, kwaye ifumaneka kwi-stable spot kwi-identity yakho ye-digital. Nangona kunjalo, i-recommendation-based feeds kunceda ukuba ngexesha lokufaka, akukho ukhuseleko ukuba abafazi bakho ziyafumana, nto leyo ivumela ukuba ukunikezela kubonakala kunye ne-high-risk ne-low-reward. Lurkers in a performative internet Oku kwenziwa ngokucacileyo kwihlabathi Abantu abalandeli iiyure ukhangela kodwa rarely, ukuba ngexesha, ukhangela kwi-stage. “ghost participants.” Zifumaneka phantsi kweglasi, ukuchitha imibuzo, ukufumana imibuzo, okanye nje ukuchitha ngaphandle kokusebenzisana. Kwiminyaka yam, ndingathanda ukuba abantu ndingathanda ngeveki ngexesha engapheliyo ukutshicilela nayiphi na into, kodwa bayazi. Yintoni iingxowa kwi-intanethi ngenxa yokuba onke, . exactly Ukukhangisa impendulo I-Climate ye-Emotional ibaluleke. I-brunch yakho ye-strand ye-brunch ifumaneka xa i-news cycle ifanelekileyo kumazwe, i-protests, i-catastrophes kunye ne-anxiety ye-economic. Kwixesha kunye emva kwe-pandemic, abacwaningi waqala ukusetyenziswa kwegama Ukubhalisa ukuchithwa kwizindaba ezinzima, ezininzi ngexesha elide, kwaye zihlanganisa ukuxhaswa kwe-psychological kunye nokunciphisa ukuxhaswa kwe-life. Ukucinga Kwiminyaka emininzi yeZ kunye neeyunivesithi ezincinane, ukudlala into elula kwi-crisis emzimbeni le nophuhliso esebenzayo ingathanda i-tone-deaf okanye ngexabiso emzimbeni, ngoko zihlala emzimbeni ngexesha lokuhlola. Ukutya okuvula ukufumana abantu Enye ingxaki engaphansi philosophical abantu post engaphansi “feeds no longer feel like places for them.” Kwixesha elide, iiplatform ezininzi ziye ziye ziye ziye zibonisa iimveliso ezininzi zeengcali ukuba zibonisa yonke into engcono ukuxhaswa, ngokuvamile i-mix ye-influencers, iimveliso, kunye neengxaki ze-algorithmically. I-Policy kunye ne-Technical Analysis ye-Recommender Systems zibonise ukuba i-algorithms ezininzi ziyafumaneka iintlobo ezifana ixesha lokuzonwabisa, i-click, kunye ne-reactions, ngenxa yokuba zihlanganisa izivumelwano zentengiso. optimized ukuba I-Metrics ye-engagement I-Metrics ye-engagement Ukulungiselela oku kubandakanyeka kwakhona. Kwimeko iifoto eziliqhelekileyo zeemvakalisi yakho, unokufumana i-real estate guru ebonisa ukuba unokufumana ngexesha le-30, i-dozen ye-skincare ads, kunye ne-AI-generated model eyenza ngaphandle kwe-graphic card. Iinkcukacha kwi-AI-driven social media zihlanganisa ukuba iinjini ze-recommendation zithunyelwe kwi-interaction yakho yonke (i-likes, i-pauses, i-rewatches), ukuze zihlanganise i-hyper-customized stream yeengxaki ziye zithunyelwe ukunceda. Yinto efanelekileyo, ikhasimende, kwaye ngokuvamile engabonakali. Ndiyathanda i-scut of this dynamic ku apho isixhobo esekelwe ukuhlaziywa ukuhambisa ukuhambisa ukuhlaziywa. "I-Instagram Blend kufuneka usebenzise nangaphezulu, kodwa isebenza ngokufanayo." Instagram Blend Is Supposed to Bring Us Closer, But It’s Doing the Opposite I-“dead internet” ingozi: i-bots, i-brands kunye ne-AI slop Ukuba ukutya yakho kubonakalisa ngempumelelo, akuyona nje imifanekiso yakho. i Zifumaneka ukuba malunga ne-half of all global web traffic ngexesha 2023 yaba bots kunokuba abantu, nge-approximately one-third of all traffic attributed to “bad bots” engabandakanyeka kwi-scraping, i-spam, kunye neengxaki ezahlukeneyo ze-automated; i-traffic yabantu, ngexesha eliphantsi kwi-50%. Thales isibuyekezo Thales report Xa unxibelelane le ububanzi lwe-automation kunye ne-AI-generated text, iifoto, kunye neevidiyo, ufumane into eningi abasebenzisi zihlanganisa njengoko i-vibe: i-feeds ifumaneka kunye ne-content mills, iingubo ze-synthetic, kunye ne-engagement farms kunokuba iingxowa ze-human. “I-Internet ebomvu” Internet ebomvu The result is a strange paradox. The internet has never produced more  , kodwa ayikwazanga kakhulu emgqeni. Ukucinga Kule mveliso, ukhetho  to post feels less like withdrawal and more like a quiet act of self-respect. Ngaba Ngexesha elide, i-scrolling ayidlulanga Yinto apho umngcipheko ukutya. Umntu angakwazi ukudlala engaphansi, kodwa Ukubaluleka kwakhona. Ukucinga I have watched this with my own family. A few years ago, my father barely used the internet. Ngoku kunokufumana iiyure eziliqela kwiividiyo ezincinane kunye ne-rolls, i-hypnotized ngu-cascade engapheliyo ye-clips ezihambelana. Yintoni Kuba abantu ezifana naye, kwaye akuyona. I-doomscrolling yaba i-smoking entsha doomscrolling has become the new smoking Ndiyakwazi ukufumana abantwana kwiingqungquthela emininzi awukwazi ukutya ngaphandle kwe-telephone yokusebenzisa i-YouTube Shorts phambi kwabo. Ukucaciswa kubonise le umfanekiso ebonakalayo. kwi-short-form video platforms ezifana ne-Reels, i-TikTok kunye ne-YouTube Shorts zibonele ukuba ukusetyenziswa kwe-heavy isetyenziselwa ukunciphisa ukucaciswa, ukulawula kweimpuls ezincinane, kunye nokunciphisa amaxabiso ezincinane ama-memory kunye ne-working memory kwi-adolescents kunye ne-adults. Ukucaciswa kwakhona Ukucaciswa kwakhona i Zifumaneke ukuba ukutya kwe-reel-watching ngokubanzi kubandakanya ubunzima obuncinane kunye ne-academic performance engaphansi, ikakhulukazi phakathi kwabanye abalandeli amahora emininzi ngosuku kumazwe. I-2024 uphando kwiiyunivesithi I-2024 uphando kwiiyunivesithi Ukusebenzisana kwe-neuroscience, i-addiction ye-video ye-short video iye ifumaneka kwiinkqubo ze-brain ezinxulumene ne-self-control, okuvumela ukuba ukuxhaswa kwiminyaka elide ingasebenza i-brain ukufikelela ukuxhaswa okuqhubekayo kunye nokwandisa ukuxhaswa okuqhubekayo. Yonke into ukuba uqhagamshelane ngokupheleleyo engineered Phantsi le epidemic ye-doomscrolling ikhona isisombululo sokucwangcisa kakhulu. . Iinkqubo ze-AI ziquka ngubani nathi, yintoni nathi, ngexesha elide, kwaye ngexabiso efanelekileyo. Iinkqubo ze-AI ziye ziye zihlanganisa abantu bethu Iinjini ze-recommendation zihlola zonke i-micro-gesture , kunye nokusetyenziswa kwe-machine learning ukucinga i-sequence efanelekileyo yeengxaki ezininzi kunokuba kuthatha nathi kwi-screen. (Yintoni ndingathanda, ngalinye ndingathanda, apho ndingathanda, iingcebiso ezidlala) Kwimeko, oku kuvelisa i-self-enforcing loop. I-algorithm inikeza iinkcukacha ezintsha okanye i-emotion, i-brain's reward system isisombululo, kwaye le impendulo ye-neurological iye yenza iinkcukacha zokusebenza ezintsha ukuze yenza i-feed engaphezulu kakhulu ngexesha elandelayo. Kwiminyaka emininzi kunye neenyanga, le pattern ibonakala njengoko ukusetyenziswa kwe-casual kunye nokufumana ukhangela kwe-behavioral addiction, iingcali kunye ne-digital addiction researchers ziquka ngokucacileyo xa zixazulule kwi-AI-optimized feeds for teens. If I have to put it in plain language, the system is built to keep you scrolling, not to help you stop. Yeyiphi na ingxaki yenza i-AI ezininzi i-paradox. kwiziko zonyango, , ngokuvamile kuxhomekeke kwaye ngexesha elide imveliso ye-human radiologists. Iimodeli ze-AI ze-deep learning zibonisa izidakamizwa ze-breast cancer Iimodeli ze-AI ze-deep learning zibonisa izidakamizwa ze-breast cancer Iimpawu ezininzi ze-technology ke ziye zithunyelwe ukuba zihlanganise iifayile ze-late-night ezibonisa ukuba uxhaswe kwi-indignation, i-fear, okanye i-envy kunye nokuphendula ukutya kwakhona. (massive datasets, deep neural networks, endless optimisation cycles) Ukuba sincoma i-AI ngenxa yokunceda ukunceda ubomi kwi-radiology suites, kufuneka sincoma kunye neendlela efanelekileyo ekubunjweni lethu, ukwandisa iingubo zethu kunye, kwiimeko ezininzi, ukwandisa iingxaki zethu kwiifowuni ezininzi ezibonakalayo ekubeni. Ungayifumana i-Internet ngokufanelekileyo kwakhona? Yintoni oku kuthatha kwakhona? If people are posting less but scrolling more, it suggests that the desire to  umdla umdla umdla umdla . observe Ukudibanisa Part of that is fatigue, part of it is fear, and part of it is the architecture of the platforms themselves. I do not think we can fix this purely at the individual level, by telling people to have more “discipline,” while the default design of the system is to overwhelm their discipline. Yintoni ungayibhalisa i-set yeengxaki ezininzi ezivela kwintoni, izixeko zethu kunye neengxaki zethu. Recommendation systems can, in principle, be optimized for well-being metrics instead of raw engagement, and research organisations have already proposed frameworks for doing exactly that. Public health guidance can treat doomscrolling and digital addiction the way it treats sedentary lifestyles or unhealthy food environments: not as purely private choices but as patterns shaped by industries and infrastructures. Kwi-level yomsebenzisi, ingxolo lula ingaba lo mfuneko: 
 
 
 
 Thumela izinto ezincinane kwaye ezincinane kumazwe amancinci oya kubalulekile. mute the feeds that make you feel like a product set hard edges around when you scroll and when you don’t. Akukho nto leyo iya kutshintshwe kwi-internet ngeveki, kodwa yindlela yokuba . le space kuquka abantu kuqala, akukho iimveliso, i-bots okanye i-engagement charts this space belongs to people first, not to brands, bots or engagement graphs The real internet, the one built from stupid jokes, bad photos, and honest conversation, will only come back if we decide that being human online matters more than being optimized.

The is an opinion piece based on the author’s POV and does not necessarily reflect the views of HackerNoon.

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