#StopTheSteal AIPasta Stimuli: Profile images, usernames, and handles constructed by Jalbert et al. 2025. Profiles do not represent real users and were created from stock images and with handles that are not currently in use.
Repeating duplicated messagesβknown as CopyPastaβover and over online is a common misinformation strategy. Using AI to paraphrase the message, what the authors call βAIPasta,β could be even more effective at creating a false consensus. In PNAS Nexus: academic.oup.com/pnasnexus/ar...
04.08.2025 18:42
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Check out "The persuasive potential of AI-paraphrased information at scale," an open-access article exploring "AIPasta," written by a team of @cip.uw.edu researchers led by @dashsaloni.bsky.social with co-authors @yiweixu.bsky.social, @maddyjalbert.bsky.social and @emmaspiro.bsky.social ‡οΈ
11.08.2025 20:44
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The persuasive potential of AI-paraphrased information at scale
Abstract. In this article, we study how AI-paraphrased messages have the potential to amplify the persuasive impact and scale of information campaigns. Bui
Excited to announce that my paper "The persuasive potential of AI-paraphrased information at scale" with my wonderful collaborators @yiweixu.bsky.social, @maddyjalbert.bsky.social, and @emmaspiro.bsky.social has been published at PNAS Nexus!
Link: academic.oup.com/pnasnexus/ar...
24.07.2025 18:24
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Congratulations!! Enjoy Ithaca βΊοΈ
26.04.2025 17:41
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Great news! CIP now has a starter pack that showcases our current and past team members! Give them a follow!
26.11.2024 02:34
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