Our chapter! preprints.apsanet.org/engage/apsa/... "AI is more likely to reinforce existing patterns of [information] exposure and behavior than it is to transform how people understand and relate to the political world" (w/@jenpans.bsky.social @aasiegel.bsky.social @yamilrvelez.bsky.social)

New study out in Nature Human Behaviour: 37 million US users were exposed to deceptive networks on Facebook & 3 million on Instagram during the 2020 elections—roughly 15% and 2% of active users. 🧵

New paper with @xuxupolitics.bsky.social in @pnasnexus.org: Chinese LLMs refuse politically sensitive questions at far higher rates than US models — and it's not explained by training data or market differences. Government regulation appears to be a key driver. ow.ly/Y7UR50Yl8KA

China’s chatbots are censored by the state. In our @pnasnexus.org paper with @jenpans.bsky.social, we find substantially higher levels of political censorship in large language models (LLMs) originating from China than those developed outside China. doi.org/10.1093/pnas... 🧵

Why do authoritarian states charge political opponents with non-political crimes? In our @thejop.bsky.social paper with Jennifer Pan & @yiqingxu.bsky.social, we examine how *Disguised Repression* undermines opponents’ moral authority and mobilization capacity. doi.org/10.1086/7342...