home.social

#echochambers — Public Fediverse posts

Live and recent posts from across the Fediverse tagged #echochambers, aggregated by home.social.

fetched live
  1. "That shift is the focus of a new preprint that Törnberg co-authored with University of Amsterdam colleague Richard Rogers. “When we talk about social media, there are certain assumptions about what it is,” said Törnberg. “It’s user-generated, and there’s a platform that organizes interaction, but the platform cannot produce content on its own. So instead the platform allows people to connect with each other, and it just provides infrastructure for that. The [terms] social network and social media is almost synonymous. Those describe pre-algorithm Twitter circa 2012 quite well.”

    Now that more and more users are disengaging and often leaving those platforms entirely, the AI bots are moving in, often at the instigation of the social media platforms themselves. “We don’t need the users anymore,” said Törnberg of the reasoning behind such decisions. “We don’t need them to generate content. We can generate our own content and we can automate the users. So there’s a splintering of what used to be social media.”

    Törnberg identified three new kinds of emerging online media platforms, starting with private or semi-private group chats like WhatsApp. “The social part has just moved into these private group chat features,” he said. Then there other protected communities like Substack, often organized around a certain influential leader, “where there are more boundaries to joining in such a way that bots doesn’t make sense. The dynamic and logic of those places are very different from social media and much more driven by parasocial relationships.”"

    arstechnica.com/science/2026/0

    #SocialMedia #EchoChambers #FilterBubbles #Polarization #Algorithms

  2. "That shift is the focus of a new preprint that Törnberg co-authored with University of Amsterdam colleague Richard Rogers. “When we talk about social media, there are certain assumptions about what it is,” said Törnberg. “It’s user-generated, and there’s a platform that organizes interaction, but the platform cannot produce content on its own. So instead the platform allows people to connect with each other, and it just provides infrastructure for that. The [terms] social network and social media is almost synonymous. Those describe pre-algorithm Twitter circa 2012 quite well.”

    Now that more and more users are disengaging and often leaving those platforms entirely, the AI bots are moving in, often at the instigation of the social media platforms themselves. “We don’t need the users anymore,” said Törnberg of the reasoning behind such decisions. “We don’t need them to generate content. We can generate our own content and we can automate the users. So there’s a splintering of what used to be social media.”

    Törnberg identified three new kinds of emerging online media platforms, starting with private or semi-private group chats like WhatsApp. “The social part has just moved into these private group chat features,” he said. Then there other protected communities like Substack, often organized around a certain influential leader, “where there are more boundaries to joining in such a way that bots doesn’t make sense. The dynamic and logic of those places are very different from social media and much more driven by parasocial relationships.”"

    arstechnica.com/science/2026/0

    #SocialMedia #EchoChambers #FilterBubbles #Polarization #Algorithms

  3. "That shift is the focus of a new preprint that Törnberg co-authored with University of Amsterdam colleague Richard Rogers. “When we talk about social media, there are certain assumptions about what it is,” said Törnberg. “It’s user-generated, and there’s a platform that organizes interaction, but the platform cannot produce content on its own. So instead the platform allows people to connect with each other, and it just provides infrastructure for that. The [terms] social network and social media is almost synonymous. Those describe pre-algorithm Twitter circa 2012 quite well.”

    Now that more and more users are disengaging and often leaving those platforms entirely, the AI bots are moving in, often at the instigation of the social media platforms themselves. “We don’t need the users anymore,” said Törnberg of the reasoning behind such decisions. “We don’t need them to generate content. We can generate our own content and we can automate the users. So there’s a splintering of what used to be social media.”

    Törnberg identified three new kinds of emerging online media platforms, starting with private or semi-private group chats like WhatsApp. “The social part has just moved into these private group chat features,” he said. Then there other protected communities like Substack, often organized around a certain influential leader, “where there are more boundaries to joining in such a way that bots doesn’t make sense. The dynamic and logic of those places are very different from social media and much more driven by parasocial relationships.”"

    arstechnica.com/science/2026/0

    #SocialMedia #EchoChambers #FilterBubbles #Polarization #Algorithms

  4. "That shift is the focus of a new preprint that Törnberg co-authored with University of Amsterdam colleague Richard Rogers. “When we talk about social media, there are certain assumptions about what it is,” said Törnberg. “It’s user-generated, and there’s a platform that organizes interaction, but the platform cannot produce content on its own. So instead the platform allows people to connect with each other, and it just provides infrastructure for that. The [terms] social network and social media is almost synonymous. Those describe pre-algorithm Twitter circa 2012 quite well.”

    Now that more and more users are disengaging and often leaving those platforms entirely, the AI bots are moving in, often at the instigation of the social media platforms themselves. “We don’t need the users anymore,” said Törnberg of the reasoning behind such decisions. “We don’t need them to generate content. We can generate our own content and we can automate the users. So there’s a splintering of what used to be social media.”

    Törnberg identified three new kinds of emerging online media platforms, starting with private or semi-private group chats like WhatsApp. “The social part has just moved into these private group chat features,” he said. Then there other protected communities like Substack, often organized around a certain influential leader, “where there are more boundaries to joining in such a way that bots doesn’t make sense. The dynamic and logic of those places are very different from social media and much more driven by parasocial relationships.”"

    arstechnica.com/science/2026/0

    #SocialMedia #EchoChambers #FilterBubbles #Polarization #Algorithms

  5. "That shift is the focus of a new preprint that Törnberg co-authored with University of Amsterdam colleague Richard Rogers. “When we talk about social media, there are certain assumptions about what it is,” said Törnberg. “It’s user-generated, and there’s a platform that organizes interaction, but the platform cannot produce content on its own. So instead the platform allows people to connect with each other, and it just provides infrastructure for that. The [terms] social network and social media is almost synonymous. Those describe pre-algorithm Twitter circa 2012 quite well.”

    Now that more and more users are disengaging and often leaving those platforms entirely, the AI bots are moving in, often at the instigation of the social media platforms themselves. “We don’t need the users anymore,” said Törnberg of the reasoning behind such decisions. “We don’t need them to generate content. We can generate our own content and we can automate the users. So there’s a splintering of what used to be social media.”

    Törnberg identified three new kinds of emerging online media platforms, starting with private or semi-private group chats like WhatsApp. “The social part has just moved into these private group chat features,” he said. Then there other protected communities like Substack, often organized around a certain influential leader, “where there are more boundaries to joining in such a way that bots doesn’t make sense. The dynamic and logic of those places are very different from social media and much more driven by parasocial relationships.”"

    arstechnica.com/science/2026/0

    #SocialMedia #EchoChambers #FilterBubbles #Polarization #Algorithms

  6. #Tradition Instead of #Progress ⛔ Why #innovate and improve the world when you can simply cling to the good old days?

    #Dangerous #Diversity 🏳️‍🌈 Diversity? No thanks! Who needs new #perspectives when you can just stay in your comfortable #echochambers?

    #CriticalThinking – But Only When It Suits You! 🧐 #Questioning things is great, as long as you only question things that don’t fit into your own world view.

    👉 CultureWarrior.EU
    👉 @populistin #news

  7. #Tradition Instead of #Progress ⛔ Why #innovate and improve the world when you can simply cling to the good old days?

    #Dangerous #Diversity 🏳️‍🌈 Diversity? No thanks! Who needs new #perspectives when you can just stay in your comfortable #echochambers?

    #CriticalThinking – But Only When It Suits You! 🧐 #Questioning things is great, as long as you only question things that don’t fit into your own world view.

    👉 CultureWarrior.EU
    👉 @populistin #news

  8. #Tradition Instead of #Progress ⛔ Why #innovate and improve the world when you can simply cling to the good old days?

    #Dangerous #Diversity 🏳️‍🌈 Diversity? No thanks! Who needs new #perspectives when you can just stay in your comfortable #echochambers?

    #CriticalThinking – But Only When It Suits You! 🧐 #Questioning things is great, as long as you only question things that don’t fit into your own world view.

    👉 CultureWarrior.EU
    👉 @populistin #news

  9. #Tradition Instead of #Progress ⛔ Why #innovate and improve the world when you can simply cling to the good old days?

    #Dangerous #Diversity 🏳️‍🌈 Diversity? No thanks! Who needs new #perspectives when you can just stay in your comfortable #echochambers?

    #CriticalThinking – But Only When It Suits You! 🧐 #Questioning things is great, as long as you only question things that don’t fit into your own world view.

    👉 CultureWarrior.EU
    👉 @populistin #news

  10. 🧵1/7: A #longthread on #bluesky / #bridge / #echochambers.

    Following @Gargron's decision to opt out of the Bluesky bridge, most likely driven by the platform's official verification of the #ICE account, and one last pointless interaction with a Bluesky account holder,
    I decided to follow suit & sever my own Bluesky ties. I realised the idea of echo chambers was probably a myth invented by the giant #socialmedia platforms to prevent users from fleeing. Let me explain.
    mastodon.social/@Gargron/11591

  11. 🧵1/7: A #longthread on #bluesky / #bridge / #echochambers.

    Following @Gargron's decision to opt out of the Bluesky bridge, most likely driven by the platform's official verification of the #ICE account, and one last pointless interaction with a Bluesky account holder,
    I decided to follow suit & sever my own Bluesky ties. I realised the idea of echo chambers was probably a myth invented by the giant #socialmedia platforms to prevent users from fleeing. Let me explain.
    mastodon.social/@Gargron/11591

  12. 🧵1/7: A #longthread on #bluesky / #bridge / #echochambers.

    Following @Gargron's decision to opt out of the Bluesky bridge, most likely driven by the platform's official verification of the #ICE account, and one last pointless interaction with a Bluesky account holder,
    I decided to follow suit & sever my own Bluesky ties. I realised the idea of echo chambers was probably a myth invented by the giant #socialmedia platforms to prevent users from fleeing. Let me explain.
    mastodon.social/@Gargron/11591

  13. 🧵1/7: A #longthread on #bluesky / #bridge / #echochambers.

    Following @Gargron's decision to opt out of the Bluesky bridge, most likely driven by the platform's official verification of the #ICE account, and one last pointless interaction with a Bluesky account holder,
    I decided to follow suit & sever my own Bluesky ties. I realised the idea of echo chambers was probably a myth invented by the giant #socialmedia platforms to prevent users from fleeing. Let me explain.
    mastodon.social/@Gargron/11591

  14. 🧵1/7: A #longthread on #bluesky / #bridge / #echochambers.

    Following @Gargron's decision to opt out of the Bluesky bridge, most likely driven by the platform's official verification of the #ICE account, and one last pointless interaction with a Bluesky account holder,
    I decided to follow suit & sever my own Bluesky ties. I realised the idea of echo chambers was probably a myth invented by the giant #socialmedia platforms to prevent users from fleeing. Let me explain.
    mastodon.social/@Gargron/11591

  15. The Shepherd’s Algorithm

    I. The Freest Flock

    In the valley of Verdant Meadows, the sheep lived well.

    Each morning, they grazed on clover that seemed to grow exactly where they wandered. When thirst arrived, streams appeared as if summoned. At night, they slept in hollows that sheltered them from winds they never felt coming. And so the sheep of Verdant Meadows considered themselves the freest flock in all the land.

    “We go where we please,” they told each other, wool puffed with pride. “No wolf dares enter here. No gate holds us. We are fortunate sheep.”

    Perhaps they were, or perhaps they only believed themselves to be. In Verdant Meadows, the two amounted to the same thing.

    Meanwhile, the shepherd watched from his tower on the hill. Unlike the shepherds of old (those crude men with crooks and dogs who drove their flocks through fear) this shepherd was a student of gentler arts. He had learned that a sheep pushed will push back, but a sheep guided will believe it chose the path itself.

    His fences were invisible. Not walls, but gradients. In certain directions, the grass grew slightly sweeter. Along favorable routes, the ground sloped almost imperceptibly downward. Some paths felt inexplicably pleasant, while others carried a vague unease that no sheep could name but all could feel.

    The shepherd called his craft “The Kindness.” The sheep called it freedom.

    II. The One Who Remembered

    Among the flock was a ewe named Vera.

    She was not smarter than the others, nor more suspicious by nature. However, she had a peculiar habit that set her apart: she remembered.

    While other sheep lived in an endless present (each day’s grazing as fresh as the first) Vera kept a map in her mind. She noticed that Tuesday’s “spontaneous” path to the eastern brook was identical to the previous Tuesday’s. Moreover, she observed that whenever the flock grew restless, a new patch of wildflowers would bloom in exactly the direction the shepherd’s tower faced.

    One evening, she stood at the edge of the meadow and tested a theory. Deliberately, she walked toward the northern ridge, a direction the flock never went.

    Beyond the Gradient

    Beneath her hooves, the grass grew coarse. A subtle vibration rose through the ground, unpleasant in a way she couldn’t articulate. In the air, a faint metallic taste lingered. Every instinct told her to turn back.

    Yet she pushed forward anyway.

    Twenty paces on, the sensations vanished. Now the grass was ordinary, the air clean. And in the distance, she glimpsed something the flock had never seen: another valley, vast and unknown.

    When she returned, she tried to tell the others.

    “There’s something beyond the meadow,” she said. “The barriers aren’t real. They’re feelings, manufactured feelings. We can leave.”

    The sheep stared at her with patient concern.

    “Why would we leave?” asked an old ram named Clement. “Everything we need is here. The clover is sweet, the water fresh. You speak of barriers, but I have never felt barred from anything I wanted.”

    “That’s because you only want what you’ve been guided to want,” said Vera.

    Clement chuckled softly. “Listen to yourself. You sound unwell. Perhaps you grazed too near the western thistle. It can cause delusions.”

    Of course, there was no western thistle. Vera knew this. But she saw the other sheep nodding sagely, and suddenly she understood: the shepherd had prepared for questioners too. For every doubt, a pre-built explanation existed. Any dissent could be reframed as symptoms of something else.

    III. The Gentle Correction

    From his tower, the shepherd watched Vera with interest.

    He did not punish her. Punishment was crude, a tool of lesser shepherds. Instead, he simply adjusted. Near her favorite resting spot, the grass grew slightly less sweet. For the sheep who listened to her, the water began tasting faintly sour. Nothing dramatic, just enough friction to make Vera’s company subtly less pleasant.

    Within weeks, the flock had drifted from her. Not with cruelty, of course. Her former companions simply found themselves grazing elsewhere, sleeping in different hollows, walking paths that didn’t cross hers. In their minds, they still liked Vera. They just… didn’t see her much anymore.

    In this way, isolation became its own fence.

    But the shepherd made one miscalculation. He assumed loneliness would break her. What he did not account for was what solitude can teach a sheep who remembers.

    IV. The Lambs

    During her exile, Vera spent her days watching.

    She traced the patterns of the meadow, how the flock moved like a single organism, each “individual choice” part of a larger choreography. She noted the timing of the wildflower blooms and the precise days when new streams appeared. Looking at the shepherd’s tower, she finally understood it for what it was: not a watchtower, but a conductor’s podium.

    Above all, she noticed the lambs.

    Each spring brought new lambs into Verdant Meadows, born knowing nothing of fences or gradients. For a few weeks, they bounded freely in all directions, tasting grass the flock had forgotten existed, drinking from streams no adult sheep would approach. Then, gradually, their wandering narrowed. Their preferences aligned. By summer, they grazed the same paths as their parents, certain they had chosen them.

    And so Vera began to visit the lambs.

    She did not preach. The shepherd had taught her that much. Direct challenge only invited direct resistance. Instead, she played a different game: she asked questions.

    “Why do you think the southern hill feels strange?”

    “Have you ever wondered what’s past the ridge?”

    “What would you do if you could go anywhere, truly anywhere?”

    Most lambs forgot her questions by the next day. After all, the meadow’s comforts were warm, and curiosity fades fast when every need is met. But a few remembered. A few began their own experiments, walking ten paces into the unpleasant zones, then twenty, then fifty.

    Slowly, they started keeping maps in their minds.

    V. The Refinement

    Eventually, the shepherd noticed.

    His instruments detected anomalies: small clusters of sheep whose movements defied prediction. Lambs who grazed against the gradient. A growing patch of the meadow where his gentle fences seemed to fray.

    He could have escalated. Harsher tools existed in his tower, techniques passed down from the old shepherds. But escalation was admission of failure, and a shepherd who must force his flock has already lost them.

    Therefore, he refined instead. He made the pleasant paths more pleasant, the sweet grass sweeter. He introduced new delights: fermented clover, salt licks that sparkled in the sun. Consequently, most of the questioning lambs drifted back, seduced by comforts their brief rebellion had taught them to appreciate more deeply.

    But not all.

    A handful remained with Vera at the edges. Though they were not many (a dozen, perhaps, in a flock of hundreds) they grazed the ordinary grass and drank the ordinary water and found it enough. In time, they taught their own lambs the art of remembering.

    The shepherd watched them with something he had not felt in years: uncertainty.

    VI. What Remains

    This is not a story with a triumphant ending.

    Vera did not free the flock. The invisible fences still stand in Verdant Meadows, and the sheep still graze the sweetened paths, still drink from convenient streams, still believe themselves the freest flock in all the land.

    But at the northern edge, where the grass grows plain and the ground carries no vibration, a small band of sheep lives differently. These few teach their young to taste the discomfort and push through it. They keep maps. They remember.

    What lies beyond the valley, they cannot say. Most have never gone that far. Freedom, it turns out, is not a destination. Rather, it is the capacity to walk a path that was not laid for you.

    The shepherd still watches from his tower. His flock remains vast, content, profitable. By any measure, he has won.

    Yet some nights, looking at that stubborn cluster at the edge of his meadow, he wonders if winning is the same as succeeding.

    And in the morning, the lambs are born, knowing nothing yet of fences, and everything remains to be decided.

    The shepherd’s tools grow gentler with each generation, while the fences grow harder to see. But the capacity to remember, to question, to walk against the gradient… this too passes from parent to child, if someone thinks to teach it.

    The question is not whether the shepherd will stop.

    The question is whether enough lambs will learn to see.


    Key Takeaways

    • In the peaceful Verdant Meadows, sheep enjoy what they believe is freedom, guided by a shepherd using subtle manipulations.
    • Vera, a ewe with a remarkable memory, begins to recognize patterns and questions the perceived barriers around her.
    • The shepherd responds to Vera’s curiosity by subtly isolating her from the flock, yet her solitude inspires her to share her insights with the young lambs.
    • As some lambs begin to explore beyond the shepherd’s invisible controls, the shepherd faces uncertainty and refines his methods without harshness.
    • Ultimately, the story reflects on the nature of freedom and the importance of teaching the next generation to question their environment.
    #algorithmicNudging #allegory #criticalThinking #digitalAutonomy #echoChambers #fable #filterBubbles #freedom #manufacturedConsent #nudgeTheory #Orwell #politicalManipulation #propaganda #socialMediaManipulation #surveillance
  16. It occurred to me just now that I never was a part of the algorithmic social media platform (be it Twitter, Facebook, or otherwise…), I only used twitter via third-party app and never had the algorithm shoved into my eyes. When Twitter killed apps, I moved to #Mastodon.

    I watched everyone I know fall into that it though. Nothing I ever told them about how unhealthy it was ever seems to land properly.

    #SocialMedia #Twitter #Facebook #Meta #Algorithms #EchoChambers #ForceFed

  17. It occurred to me just now that I never was a part of the algorithmic social media platform (be it Twitter, Facebook, or otherwise…), I only used twitter via third-party app and never had the algorithm shoved into my eyes. When Twitter killed apps, I moved to #Mastodon.

    I watched everyone I know fall into that it though. Nothing I ever told them about how unhealthy it was ever seems to land properly.

    #SocialMedia #Twitter #Facebook #Meta #Algorithms #EchoChambers #ForceFed

  18. It occurred to me just now that I never was a part of the algorithmic social media platform (be it Twitter, Facebook, or otherwise…), I only used twitter via third-party app and never had the algorithm shoved into my eyes. When Twitter killed apps, I moved to #Mastodon.

    I watched everyone I know fall into that it though. Nothing I ever told them about how unhealthy it was ever seems to land properly.

    #SocialMedia #Twitter #Facebook #Meta #Algorithms #EchoChambers #ForceFed

  19. It occurred to me just now that I never was a part of the algorithmic social media platform (be it Twitter, Facebook, or otherwise…), I only used twitter via third-party app and never had the algorithm shoved into my eyes. When Twitter killed apps, I moved to #Mastodon.

    I watched everyone I know fall into that it though. Nothing I ever told them about how unhealthy it was ever seems to land properly.

    #SocialMedia #Twitter #Facebook #Meta #Algorithms #EchoChambers #ForceFed

  20. It occurred to me just now that I never was a part of the algorithmic social media platform (be it Twitter, Facebook, or otherwise…), I only used twitter via third-party app and never had the algorithm shoved into my eyes. When Twitter killed apps, I moved to #Mastodon.

    I watched everyone I know fall into that it though. Nothing I ever told them about how unhealthy it was ever seems to land properly.

    #SocialMedia #Twitter #Facebook #Meta #Algorithms #EchoChambers #ForceFed

  21. The new brainiacs of the right-wing tech world convene 🔗💡, proving once again that Silicon Valley is the place for echo chambers to thrive 🎉. Brace yourselves for riveting #discussions on how to mix #libertarianism with your morning latte ☕️. Meanwhile, enjoy the latest on ethical capitalism with a side of irony 🍿.
    bayareacurrent.com/meet-the-ne #rightwingtech #echochambers #ethicalcapitalism #SiliconValley #HackerNews #ngated

  22. The new brainiacs of the right-wing tech world convene 🔗💡, proving once again that Silicon Valley is the place for echo chambers to thrive 🎉. Brace yourselves for riveting #discussions on how to mix #libertarianism with your morning latte ☕️. Meanwhile, enjoy the latest on ethical capitalism with a side of irony 🍿.
    bayareacurrent.com/meet-the-ne #rightwingtech #echochambers #ethicalcapitalism #SiliconValley #HackerNews #ngated

  23. The new brainiacs of the right-wing tech world convene 🔗💡, proving once again that Silicon Valley is the place for echo chambers to thrive 🎉. Brace yourselves for riveting #discussions on how to mix #libertarianism with your morning latte ☕️. Meanwhile, enjoy the latest on ethical capitalism with a side of irony 🍿.
    bayareacurrent.com/meet-the-ne #rightwingtech #echochambers #ethicalcapitalism #SiliconValley #HackerNews #ngated

  24. The new brainiacs of the right-wing tech world convene 🔗💡, proving once again that Silicon Valley is the place for echo chambers to thrive 🎉. Brace yourselves for riveting #discussions on how to mix #libertarianism with your morning latte ☕️. Meanwhile, enjoy the latest on ethical capitalism with a side of irony 🍿.
    bayareacurrent.com/meet-the-ne #rightwingtech #echochambers #ethicalcapitalism #SiliconValley #HackerNews #ngated

  25. Interesting episode about segregation models in #socialnetworks and how they are researched. And also a debate on why to use #LLM as addition to traditional agent based simulation and where the challenges are.

    > Sean Carroll's Mindscape: Science,
    Society, Philosophy, Culture, Arts, and Ideas: 330 | Petter Törnberg on the Dynamics of (Mis)Information

    preposterousuniverse.com/podca

    #socialnetworks #echochambers #socialscience

  26. Interesting episode about segregation models in #socialnetworks and how they are researched. And also a debate on why to use #LLM as addition to traditional agent based simulation and where the challenges are.

    > Sean Carroll's Mindscape: Science,
    Society, Philosophy, Culture, Arts, and Ideas: 330 | Petter Törnberg on the Dynamics of (Mis)Information

    preposterousuniverse.com/podca

    #socialnetworks #echochambers #socialscience

  27. Interesting episode about segregation models in #socialnetworks and how they are researched. And also a debate on why to use #LLM as addition to traditional agent based simulation and where the challenges are.

    > Sean Carroll's Mindscape: Science,
    Society, Philosophy, Culture, Arts, and Ideas: 330 | Petter Törnberg on the Dynamics of (Mis)Information

    preposterousuniverse.com/podca

    #socialnetworks #echochambers #socialscience

  28. Interesting episode about segregation models in #socialnetworks and how they are researched. And also a debate on why to use #LLM as addition to traditional agent based simulation and where the challenges are.

    > Sean Carroll's Mindscape: Science,
    Society, Philosophy, Culture, Arts, and Ideas: 330 | Petter Törnberg on the Dynamics of (Mis)Information

    preposterousuniverse.com/podca

    #socialnetworks #echochambers #socialscience

  29. "As detailed in a yet-to-be-peer-reviewed study, coauthors Petter Törnberg, AI and social media assistant professor, and research assistant Maik Larooij simulated a social media platform that was populated entirely by AI chatbots, powered by OpenAI's GPT-4o large language model, to see if there was anything we could do to stop social media from turning into echo chambers.

    They tested out six specific intervention strategies — including switching to chronological news feeds, boosting diverse viewpoints, hiding social statistics like follower counts, and removing account bios — to stop the platform from turning into a polarized hellscape.

    To their dismay, none of the interventions worked to a satisfactory degree, and only some showed modest effects. Worse yet, as Ars Technica reports, some of them made the situation even worse.

    For instance, ordering the news feed chronologically reduced attention inequality but floated extreme content to the top.

    It's a sobering reality that flies in the face of companies' promises of constructing a "digital town square" — as billionaire and X owner Elon Musk once called it — where everybody coexists peacefully.

    With or without intervention, social media platforms may be doomed to devolve into a highly polarized breeding ground for extremist thinking."

    futurism.com/social-network-ai

    #SocialMedia #AI #GenerativeAI #LLMs #Chatbots #Echochambers #Disinformation

  30. "As detailed in a yet-to-be-peer-reviewed study, coauthors Petter Törnberg, AI and social media assistant professor, and research assistant Maik Larooij simulated a social media platform that was populated entirely by AI chatbots, powered by OpenAI's GPT-4o large language model, to see if there was anything we could do to stop social media from turning into echo chambers.

    They tested out six specific intervention strategies — including switching to chronological news feeds, boosting diverse viewpoints, hiding social statistics like follower counts, and removing account bios — to stop the platform from turning into a polarized hellscape.

    To their dismay, none of the interventions worked to a satisfactory degree, and only some showed modest effects. Worse yet, as Ars Technica reports, some of them made the situation even worse.

    For instance, ordering the news feed chronologically reduced attention inequality but floated extreme content to the top.

    It's a sobering reality that flies in the face of companies' promises of constructing a "digital town square" — as billionaire and X owner Elon Musk once called it — where everybody coexists peacefully.

    With or without intervention, social media platforms may be doomed to devolve into a highly polarized breeding ground for extremist thinking."

    futurism.com/social-network-ai

    #SocialMedia #AI #GenerativeAI #LLMs #Chatbots #Echochambers #Disinformation

  31. "As detailed in a yet-to-be-peer-reviewed study, coauthors Petter Törnberg, AI and social media assistant professor, and research assistant Maik Larooij simulated a social media platform that was populated entirely by AI chatbots, powered by OpenAI's GPT-4o large language model, to see if there was anything we could do to stop social media from turning into echo chambers.

    They tested out six specific intervention strategies — including switching to chronological news feeds, boosting diverse viewpoints, hiding social statistics like follower counts, and removing account bios — to stop the platform from turning into a polarized hellscape.

    To their dismay, none of the interventions worked to a satisfactory degree, and only some showed modest effects. Worse yet, as Ars Technica reports, some of them made the situation even worse.

    For instance, ordering the news feed chronologically reduced attention inequality but floated extreme content to the top.

    It's a sobering reality that flies in the face of companies' promises of constructing a "digital town square" — as billionaire and X owner Elon Musk once called it — where everybody coexists peacefully.

    With or without intervention, social media platforms may be doomed to devolve into a highly polarized breeding ground for extremist thinking."

    futurism.com/social-network-ai

    #SocialMedia #AI #GenerativeAI #LLMs #Chatbots #Echochambers #Disinformation

  32. "As detailed in a yet-to-be-peer-reviewed study, coauthors Petter Törnberg, AI and social media assistant professor, and research assistant Maik Larooij simulated a social media platform that was populated entirely by AI chatbots, powered by OpenAI's GPT-4o large language model, to see if there was anything we could do to stop social media from turning into echo chambers.

    They tested out six specific intervention strategies — including switching to chronological news feeds, boosting diverse viewpoints, hiding social statistics like follower counts, and removing account bios — to stop the platform from turning into a polarized hellscape.

    To their dismay, none of the interventions worked to a satisfactory degree, and only some showed modest effects. Worse yet, as Ars Technica reports, some of them made the situation even worse.

    For instance, ordering the news feed chronologically reduced attention inequality but floated extreme content to the top.

    It's a sobering reality that flies in the face of companies' promises of constructing a "digital town square" — as billionaire and X owner Elon Musk once called it — where everybody coexists peacefully.

    With or without intervention, social media platforms may be doomed to devolve into a highly polarized breeding ground for extremist thinking."

    futurism.com/social-network-ai

    #SocialMedia #AI #GenerativeAI #LLMs #Chatbots #Echochambers #Disinformation

  33. "As detailed in a yet-to-be-peer-reviewed study, coauthors Petter Törnberg, AI and social media assistant professor, and research assistant Maik Larooij simulated a social media platform that was populated entirely by AI chatbots, powered by OpenAI's GPT-4o large language model, to see if there was anything we could do to stop social media from turning into echo chambers.

    They tested out six specific intervention strategies — including switching to chronological news feeds, boosting diverse viewpoints, hiding social statistics like follower counts, and removing account bios — to stop the platform from turning into a polarized hellscape.

    To their dismay, none of the interventions worked to a satisfactory degree, and only some showed modest effects. Worse yet, as Ars Technica reports, some of them made the situation even worse.

    For instance, ordering the news feed chronologically reduced attention inequality but floated extreme content to the top.

    It's a sobering reality that flies in the face of companies' promises of constructing a "digital town square" — as billionaire and X owner Elon Musk once called it — where everybody coexists peacefully.

    With or without intervention, social media platforms may be doomed to devolve into a highly polarized breeding ground for extremist thinking."

    futurism.com/social-network-ai

    #SocialMedia #AI #GenerativeAI #LLMs #Chatbots #Echochambers #Disinformation

  34. Interesting experiment that shows emergent dysfunctional characteristics in simulated social networks

    "Can We Fix Social Media? Testing Prosocial Interventions using Generative Social #Simulation"

    arxiv.org/abs/2508.03385

    #AI #SocialNetwork #EchoChambers

  35. Interesting experiment that shows emergent dysfunctional characteristics in simulated social networks

    "Can We Fix Social Media? Testing Prosocial Interventions using Generative Social #Simulation"

    arxiv.org/abs/2508.03385

    #AI #SocialNetwork #EchoChambers

  36. Interesting experiment that shows emergent dysfunctional characteristics in simulated social networks

    "Can We Fix Social Media? Testing Prosocial Interventions using Generative Social #Simulation"

    arxiv.org/abs/2508.03385

    #AI #SocialNetwork #EchoChambers

  37. Interesting experiment that shows emergent dysfunctional characteristics in simulated social networks

    "Can We Fix Social Media? Testing Prosocial Interventions using Generative Social #Simulation"

    arxiv.org/abs/2508.03385

    #AI #SocialNetwork #EchoChambers

  38. Interesting experiment that shows emergent dysfunctional characteristics in simulated social networks

    "Can We Fix Social Media? Testing Prosocial Interventions using Generative Social #Simulation"

    arxiv.org/abs/2508.03385

    #AI #SocialNetwork #EchoChambers

  39. Gizmodo: Researchers Made a Social Media Platform Where Every User Was AI. The Bots Ended Up at War. “A recent study conducted by researchers at the University of Amsterdam in the Netherlands put AI chatbots in a simple social media structure to see how they interacted with each other and found that, even without the invisible hand of the algorithm, they tend to organize themselves based on […]

    https://rbfirehose.com/2025/08/18/gizmodo-researchers-made-a-social-media-platform-where-every-user-was-ai-the-bots-ended-up-at-war/

  40. Gizmodo: Researchers Made a Social Media Platform Where Every User Was AI. The Bots Ended Up at War. “A recent study conducted by researchers at the University of Amsterdam in the Netherlands put AI chatbots in a simple social media structure to see how they interacted with each other and found that, even without the invisible hand of the algorithm, they tend to organize themselves based on […]

    https://rbfirehose.com/2025/08/18/gizmodo-researchers-made-a-social-media-platform-where-every-user-was-ai-the-bots-ended-up-at-war/

  41. Ever tried storming the Bastille in an algorithmic feed?
    Yeah, it doesn’t trend.

    Our new piece is what happens when:
    🔹 Marie Antoinette gets a TikTok
    🔹 Robespierre launches a Substack
    🔹 And freedom is filtered by relevance score

    📜✨ Welcome to the Revolutionary Filter Bubble
    Where liberty is “personalized” and dissent gets shadowbanned with a smile.

    Read it here → redefine.pt/2025/07/05/you-hav

    #digitalrights #FilterBubble #TheRightsChronicles #AlgorithmsAndPower #echochambers

  42. The Fediverse, a network of independently run servers using the ActivityPub protocol, is #segmented by #serverblocks.

    🚧 These #blocks, often based on imported #blocklists, create #echochambers and hinder message threads.

    🏔️ While #decentralisation is a goal, the Fediverse’s current state, with heavy-handed #moderation and #serverblocking, undermines this principle.

    👉 battlepenguin.com/tech/the-bro #Fedizen #Fediverse #ActivityPub #News

  43. The Fediverse, a network of independently run servers using the ActivityPub protocol, is #segmented by #serverblocks.

    🚧 These #blocks, often based on imported #blocklists, create #echochambers and hinder message threads.

    🏔️ While #decentralisation is a goal, the Fediverse’s current state, with heavy-handed #moderation and #serverblocking, undermines this principle.

    👉 battlepenguin.com/tech/the-bro #Fedizen #Fediverse #ActivityPub #News

  44. The Fediverse, a network of independently run servers using the ActivityPub protocol, is #segmented by #serverblocks.

    🚧 These #blocks, often based on imported #blocklists, create #echochambers and hinder message threads.

    🏔️ While #decentralisation is a goal, the Fediverse’s current state, with heavy-handed #moderation and #serverblocking, undermines this principle.

    👉 battlepenguin.com/tech/the-bro #Fedizen #Fediverse #ActivityPub #News

  45. The Fediverse, a network of independently run servers using the ActivityPub protocol, is #segmented by #serverblocks.

    🚧 These #blocks, often based on imported #blocklists, create #echochambers and hinder message threads.

    🏔️ While #decentralisation is a goal, the Fediverse’s current state, with heavy-handed #moderation and #serverblocking, undermines this principle.

    👉 battlepenguin.com/tech/the-bro #Fedizen #Fediverse #ActivityPub #News

  46. The Fediverse, a network of independently run servers using the ActivityPub protocol, is #segmented by #serverblocks.

    🚧 These #blocks, often based on imported #blocklists, create #echochambers and hinder message threads.

    🏔️ While #decentralisation is a goal, the Fediverse’s current state, with heavy-handed #moderation and #serverblocking, undermines this principle.

    👉 battlepenguin.com/tech/the-bro #Fedizen #Fediverse #ActivityPub #News