Can social media detect economic shocks before official data does? A new PNAS Nexus study led by @nirg.bsky.social and Samuel Fraiberger shows that AI models tracking job-loss disclosures on social media can predict U.S. unemployment insurance claims up to two weeks early,

New paper out in @pnasnexus.org: We show how skewed social media data can still be used to reliably estimate unemployment, not just nationally but down to the city level. 📈 doi.org/10.1093/pnas... 1/N

Introducing “DomainDemo: a dataset of domain-sharing activities among different demographic groups on Twitter.” Today, we release five derived metrics of over 129,000 domains, quantifying their characteristics such as geographical reach and audience partisanship. 1/3

Incels (involuntarily celibates) are increasingly using violent language, particularly non-directed violent language in the largest incel forum, finds @danielmatter.bsky.social @miriamschirmer.bsky.social @nirg.bsky.social @jurgenpfeffer.bsky.social arxiv.org/abs/2401.02001

🚨New paper🚨 out in the International Journal of Press/Politics w/ Assaf Shamir and @jenny-oser.bsky.social 🎉 Here's what we learned from studying the composition of political content available to 600k+ registered U.S. voters on Twitter during the 2020 election. doi.org/10.1177/1940... 🧵👇