A new European ruling on algorithmic amplification determines if an operator controls how content spreads on a platform. But applying it to open social networks turns out to be a problem.
Social media algorithms can be redesigned to bridge divides — here’s how
"It falls to both the tech companies that built these systems and an engaged public to create technologies designed for social cohesion."
Bluesky & Open Social Media Tech
A New Social
Our mission is to liberate people's networks from their platforms, enabling The Last Network Effect and leveling the playing field across the open social web.
A New Social
Our mission is to liberate people's networks from their platforms, enabling The Last Network Effect and leveling the playing field across the open social web.
AI, Agency and Protocols_ Power and Governance in Open Social Networks.pdf
Introducing GreenEarth
We're building advanced open source algorithms for social media
Modelling Opinion Dynamics in the Age of Algorithmic Personalisation
Modern technology has drastically changed the way we interact and consume information. For example, online social platforms allow for seamless communication exchanges at an unprecedented scale. However, we are still bounded by cognitive and temporal constraints. Our attention is limited and extremely valuable. Algorithmic personalisation has become a standard approach to tackle the information overload problem. As result, the exposure to our friends' opinions and our perception about important issues might be distorted. However, the effects of algorithmic gatekeeping on our hyper-connected society are poorly understood. Here, we devise an opinion dynamics model where individuals are connected through a social network and adopt opinions as function of the view points they are exposed to. We apply various filtering algorithms that select the opinions shown to users i) at random ii) considering time ordering or iii) their current beliefs. Furthermore, we investigate the interplay between such mechanisms and crucial features of real networks. We found that algorithmic filtering might influence opinions' share and distributions, especially in case information is biased towards the current opinion of each user. These effects are reinforced in networks featuring topological and spatial correlations where echo chambers and polarisation emerge. Conversely, heterogeneity in connectivity patterns reduces such tendency. We consider also a scenario where one opinion, through nudging, is centrally pushed to all users. Interestingly, even minimal nudging is able to change the status quo moving it towards the desired view point. Our findings suggest that simple filtering algorithms might be powerful tools to regulate opinion dynamics taking place on social networks
Our Social Media is Broken. Is Decentralization the Fix? | Internet Archive Blogs
When Jack Dorsey, founder of the very centralized social media platform, Twitter, posted this message about decentralized social media, our DWeb community took note:
Algorithmic choice - Bluesky
Your attention is an invaluable resource. We want a future where you control what you see on social media.
Why the Algorithm Loves a Villain, And How to Beat It
When the internet is full of distortions, fake news, and AI-generated slop, how can facts and journalism rise to the top? Former BBC and Vice journalist Sophia Smith Galer has one possible way to…
Do our social media algorithms correctly reflect our values? Our new article published today in @pnas.org shows that the answer is often not, and that the content that gets promoted into their ranked feeds is often actively counter to our values.
🧵 On social media, we feel trapped in “filter bubbles” and “echo chambers.” Often, we see this as a problem with the algorithm. Our new essay argues the problem is the feed interface itself: it constrains our movement—all we can do is scroll. We lay out an alternative vision:
From Feeds to Trails
leaflet.pubDo our social media algorithms correctly reflect our values? Our new article published today in @pnas.org shows that the answer is often not, and that the content that gets promoted into their ranked feeds is often actively counter to our values.
Social Media - Algorithmic Distortions and Polarization
Meta’s Legal Troubles Are Worse than You Think
old.reddit.com
Doomscrolling
Infinite scrolling
Taming the endless scroll? Short-form videos, digital routines and neurocognitive outcomes in youth
Trolling democracy: anonymity doesn’t cause conflicts, bad site design does
