4k citations · 15k across the 85 of their papers we have counts for
89 papers
Fact-checking information from large language models can decrease headline discernment
Matthew R. DeVerna, Harry Yaojun Yan, Kai-Cheng Yang +1
Fact checking can be an effective strategy against misinformation, but its implementation at scale is impeded by the overwhelming volume of information online. Recent artificial in…
Anatomy of an AI-powered malicious social botnet
Kai-Cheng Yang, Filippo Menczer
Large language models (LLMs) exhibit impressive capabilities in generating realistic text across diverse subjects. Concerns have been raised that they could be utilized to produce…
Friction Interventions to Curb the Spread of Misinformation on Social Media
Laura Jahn, Rasmus K. Rendsvig, Alessandro Flammini +2
Social media has enabled the spread of information at unprecedented speeds and scales, and with it the proliferation of high-engagement, low-quality content. *Friction* -- behavior…
The science of fake news
David M. J. Lazer, Matthew A. Baum, Yochai Benkler +13
Fake news emerged as an apparent global problem during the 2016 U.S. Presidential election. Addressing it requires a multidisciplinary effort to define the nature and extent of the…
Accuracy and Political Bias of News Source Credibility Ratings by Large Language Models
Kai-Cheng Yang, Filippo Menczer
Search engines increasingly leverage large language models (LLMs) to generate direct answers, and AI chatbots now access the Internet for fresh data. As information curators for bi…
A Multi-Platform Collection of Social Media Posts about the 2022 U.S. Midterm Elections
Rachith Aiyappa, Matthew R. DeVerna, Manita Pote +13
Social media are utilized by millions of citizens to discuss important political issues. Politicians use these platforms to connect with the public and broadcast policy positions.…