Huge thanks to our organisers, the attendees, and our fantastic session chairs for making the event such a success!
Huge thanks to our organisers, the attendees, and our fantastic session chairs for making the event such a success!
Examining news on 7 platforms:
1)Right-leaning platforms=lower quality news
2)Echo-platforms: Right-leaning news gets more engagement on right-leaning platforms, vice-versa for left-leaning
3)Low-quality news gets more engagement EVERYWHERE - even BlueSky!
www.pnas.org/doi/10.1073/...
Examining news on 7 platforms:
1)Right-leaning platforms=lower quality news
2)Echo-platforms: Right-leaning news gets more engagement on right-leaning platforms, vice-versa for left-leaning
3)Low-quality news gets more engagement EVERYWHERE - even BlueSky!
www.pnas.org/doi/10.1073/...
"pattern we find seems to be driven more by an underperformance of particularly popular high-quality outlets"
"pattern we find seems to be driven more by an underperformance of particularly popular high-quality outlets"
Examining news engagement across 7 platforms, we find:
- differences WRT political lean ("echo platforms")
- similarities WRT news quality (posting low qual news => more engagement)
Read paper and thread for more!
Examining news engagement across 7 platforms, we find:
- differences WRT political lean ("echo platforms")
- similarities WRT news quality (posting low qual news => more engagement)
Read paper and thread for more!
techandsciencepost.com/news/other-s...
techandsciencepost.com/news/other-s...
Read the full research paper here: www.pnas.org/doi/10.1073/...
Read the full research paper here: www.pnas.org/doi/10.1073/...
Read the full @weforum.org piece here:
www.weforum.org/stories/2025...
Read the full @weforum.org piece here:
www.weforum.org/stories/2025...
Notable partisan asymmetries. Low quality news gets more engagement, driven by traditional news getting poor engagement
Notable partisan asymmetries. Low quality news gets more engagement, driven by traditional news getting poor engagement
We show that web-browsing GPT and LLaMA models can infer social media user demographics with reasonable accuracy—using only usernames.
This opens new possibilities for social media research in the post-API era but raises important privacy concerns.
We show that web-browsing GPT and LLaMA models can infer social media user demographics with reasonable accuracy—using only usernames.
This opens new possibilities for social media research in the post-API era but raises important privacy concerns.
The right often accuses fact-checkers of political bias
But we analyzed Community Notes on Musk's X and found posts flagged as "misleading" are 2.3x more likely to be written by Reps than Dems!
The issue is Reps sharing misinformation, not fact-checker bias...
www.pnas.org/doi/10.1073/...
The right often accuses fact-checkers of political bias
But we analyzed Community Notes on Musk's X and found posts flagged as "misleading" are 2.3x more likely to be written by Reps than Dems!
The issue is Reps sharing misinformation, not fact-checker bias...
www.pnas.org/doi/10.1073/...
Posts by Republicans are 2.3 times more likely to be flagged as misleading than those by Democrats on X's Community Notes. A 🧵
pnas.org/doi/epub/10.... (Open Access)
Posts by Republicans are 2.3 times more likely to be flagged as misleading than those by Democrats on X's Community Notes. A 🧵
pnas.org/doi/epub/10.... (Open Access)
Read it here: www.ox.ac.uk/news/2025-04...
Read it here: www.ox.ac.uk/news/2025-04...
Read the full article: www.oii.ox.ac.uk/news-events/...
Read the full article: www.oii.ox.ac.uk/news-events/...
Read the full article: www.oii.ox.ac.uk/news-events/...
Corrections of misinfo are often ignored. What can drive engagement?
Twitter field exp & survey followups find
-Social ties matter: users more likely to engage w corrections from accounts who followed user
-Shared partisanship had smaller effects on engagement
shorturl.at/0Ycdp
Corrections of misinfo are often ignored. What can drive engagement?
Twitter field exp & survey followups find
-Social ties matter: users more likely to engage w corrections from accounts who followed user
-Shared partisanship had smaller effects on engagement
shorturl.at/0Ycdp
Listen here: podcasts.ox.ac.uk/why-social-m...
Listen here: podcasts.ox.ac.uk/why-social-m...
In a large pre-registered experiment (n=25,982), we find evidence that scaling the size of LLMs yields sharply diminishing persuasive returns for static political messages.
🧵:
In a large pre-registered experiment (n=25,982), we find evidence that scaling the size of LLMs yields sharply diminishing persuasive returns for static political messages.
🧵:
Remember Musk+Zuck+Trump+Jordan etc crying fact-checker bias b/c Reps were flagged more than Dems? We analyzed Community Notes on Musk's X and guess what: posts flagged as "misleading" are 67% more likely to be written by Reps! The issue is Reps, not fact-checkers...
osf.io/preprints/ps...
Remember Musk+Zuck+Trump+Jordan etc crying fact-checker bias b/c Reps were flagged more than Dems? We analyzed Community Notes on Musk's X and guess what: posts flagged as "misleading" are 67% more likely to be written by Reps! The issue is Reps, not fact-checkers...
osf.io/preprints/ps...
Krishnan Nair, @mmosleh.bsky.social @oiioxford.bsky.social; and Maryam Kouchaki. Download the study: bit.ly/3EbQnuZ
Krishnan Nair, @mmosleh.bsky.social @oiioxford.bsky.social; and Maryam Kouchaki. Download the study: bit.ly/3EbQnuZ