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People trust "community notes" more than flags to warn against misinformation because of the additional context rather than source trust, with results holding across partisanship, finds Chiara Drolsbach Solovev Nicolas Pröllochs in PNAS Nexus doi.org/10.1093/pnasne…

Gegen Misinformation und Fake News in sozialen Medien sollen Faktenchecks helfen. Aber funktionieren sie? Darüber — und warum Warnhinweise alleine nicht ausreichend sind — haben wir anlässlich unserer neuen Studie mit der Frankfurter Allgemeine gesprochen. w/ Nicolas Pröllochs

Does community-based fact-checking reduce the spread of misleading posts on social media? New results (with Community Notes data up to June 2024) and a new 🧵... arxiv.org/pdf/2409.08781

🚨 Is Fact-Checking Politically Neutral? Our paper exploring “Asymmetries in U.S. Fact-Checking Organizations Pick Up False Statements Mentioning Political Elites” was accepted by #ICWSM25 ! Our preprint version is available at: 🔗 arxiv.org/pdf/2310.08821

Compared to fact checks that are rated as "true," "false" fact checks are more likely to mention Democrats but less likely to mention Republicans, finds Yuwei Chuai, Nicolas Pröllochs et al. doi.org/10.48550/arXiv…

New online! Using natural language processing to analyse text data in behavioural science go.nature.com/40ii2CY

We have a new paper explaining all the ways you can use natural language processing to analyze text data in Nature Reviews Psychology We provide user friendly recommendations for using NLP to ensure rigour and reproducibility Free link: nature.com/articles/s4415… Led by Stefan Feuerriegel

One of the most-viewed PNAS Nexus articles in the last week is “Community notes increase trust in fact-checking on social media.” Explore the article here: ow.ly/aZY250ULgEi To learn more about submitting your own research, visit PNAS Nexus at ow.ly/bmwf50ULgEk.

Out in Nature Human Behaviour 🔥 Can people tell true from false news? Yes! Our meta-analysis shows that people rate true news as more accurate than false news (d = 1.12) and were better at spotting false news than at recognizing true news (d = 0.32).

Using Natural Language Processing in Behavioral Science We put together a "How-To-Guide" and offer a short summary in our latest lab newsletter (link in next tweet)

Community-based fact-checking effectiveness relies heavily on sourcing. This paper shows that providing unbiased external references increases perceived helpfulness nearly threefold. arxiv.org/abs/2503.10560

When Community Notes inform users about falsehoods on X posts, the replies to the post have more negativity, anger, distrust, and moral outrage, finds Yuwei Chuai Anastasia'Asya'Sergeeva Lenzini Nicolas Pröllochs doi.org/10.1145/370659…