Mohsen Mosleh

@mmosleh.bsky.social

Prof @Oxford, Affiliate @MIT www.MohsenMosleh.com

🚨New WP "@Grok is this true?" We analyze 1.6M factcheck requests on X (grok & Perplexity) 📌Usage is polarized, Grok users more likely to be Reps 📌BUT Rep posts rated as false more often—even by Grok 📌Bot agreement with factchecks is OK but not great; APIs match fact-checkers osf.io/preprints/ps...

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50 researchers from across Europe and North America recently came to University of Oxford for a two-day workshop at St Anne's College, University of Oxford, exploring the future of social media research.

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Amazing new paper analysed 10 million news posts on 7 social media platforms in January 2024 - they found that most content posted is high quality and politically moderate, including on Twitter/X. The problem is that engagement is much higher for the relatively small portion of low quality content.

Frequency distribution of political lean of news domains shared on BlueSkye, Gab, Gettr, LinkedIn, Mastodon, TruthSocial, x/twitter. The most common type of content on Bluesky, LinkedIn, Twitter and Mastodon is politically moderate. For TruthSocial, the most common content is right wing. Gettr and Gab is varied. Frequency distribution of quality of news shared on each platform. Most content on Bluesky, X/Twitter, Mastodon and LinkedIn is of medium to high quality. Gab, Gettr and Truth Social is of varying quality. Line graphs showing the proportion of posts that are among the 10% highest engagement posts on each platform by news quality (binned by rounding quality to nearest 0.25). Shows that for all platforms, except BlueSky, engagement declines as quality increases, especially for LinkedIn. BlueSky sees the highest engagement for posts of average quality.

🚨Out in PNAS🚨 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/...

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"While high-quality content is posted more and receives more total engagement across platforms...a given author attracts higher levels of engagement when they post lower-quality content" "pattern we find seems to be driven more by an underperformance of particularly popular high-quality outlets"

Divergent patterns of engagement with partisan and low-quality news across seven social media platforms | PNAS

In recent years, social media has become increasingly fragmented, as platforms evolve and new alternatives emerge. Yet most research studies a sing...

pnas.org

🚨 New preprint alert: 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.

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🚨In PNAS🚨 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/...

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An exploration of the increasingly muddy waters of online fact-checking - a fascinating read from Wolfson GBF @mmosleh.bsky.social as he examines the role of shared ideology and social connection in whether people engage with fact-checks that aim to counter online misinformation.

Oxford Internet Institute@oii.ox.ac.uk · last yr.

New! In his latest opinion piece, Associate Professor, @mmosleh.bsky.social @oii.ox.ac.uk asks how we can encourage engagement with online fact-checking? Read the full article: www.oii.ox.ac.uk/news-events/...

📈Out today in @PNASNews!📈 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.  🧵:

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🚨New WP🚨 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...

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