Herzlichen Glückwunsch, Andrea!🎉

Thanks for this point! I think you're referring to how extreme the misinfo is, right? We didn't account for that in the statistical analysis, but we did include less (typically yellow press) & more extreme types (outright hyperpartisan sources) in the data collection, so they should be represented

Thanks, this is an important point that we also raised in another study (see doi.org/10.1186/s412...)!
Unfortunately, we couldn't measure it so easily in this study, and also weren't interested theoretically, since both scenarios would count as an angry reaction

Thanks to all my co-authors @dgarcia.eu @anniewald.bsky.social @janalasser.bsky.social @apeksha.bsky.social @hannahmetzler.bsky.social
Link to pre-print: doi.org/10.31234/osf...

Please let me know any thoughts and feedback on this!

We contribute to misinfo research by

✅ using a comprehensive source-based approach (capturing the full spectrum, not just clear-cut fake news)
✅ applying a matching method to social media data... aka we measure misinfo effects on populations that are hard to reach otherwise!

So misinformation seems to leave distinct fingerprints on engagement and emotions, potentially creating a self-reinforcing cycle where angry users seek it out and amplify it through retweeting, which creates more self-selection through exposure (ie the motivated minority?)

Higher anger is partially driven by self-selection. Users who engage with untrustworthy content show higher baseline anger.

Within the same user, disgust and fear increase with untrustworthy content, but anger doesn't change significantly.

2) Using ML to detect 7 distinct emotions in 11M replies, we found discussions following untrustworthy news show 9% more anger, 22% more disgust, and 12% less joy.

😡 Not all negative emotions matter equally: anger, disgust, and fear are key.

But...

Key findings:
1) Despite being only 6% of shared news, untrustworthy sources get 39% more retweets and 12% more quote tweets, but 14% fewer likes and 19% fewer replies.

🤔 Untrustworthy news content, often containing misinfo, spreads differently than trustworthy news!

Yaay congrats Jo, that's so exciting!! Hopefully see you soon over here then, come visit us in Vienna :)

Second, with a large team of authors, led by @anniewald.bsky.social, we study which (personal, temporal, spatial, affordance-based) properties of incidences of extrajudicial police killings facilitate public attention on social media.

The danger isn’t just that people believe lies. It’s that entire communities become locked into belief systems that can’t be challenged, where loyalty replaces evidence, and disagreement feels like betrayal. That doesn’t just distort truth, it breaks trust.