activity
20172026
most citedThe spread of low-credibility content by social bots

1.1k citations · 2.5k across the 29 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

cs.SI2023★ 2 cited

Social Bots: Detection and Challenges

Kai-Cheng Yang, Onur Varol, Alexander C. Nwala +4

While social media are a key source of data for computational social science, their ease of manipulation by malicious actors threatens the integrity of online information exchanges…

cs.HC2023★ 46 cited

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…

cs.CY2023★ 57 cited

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…

cs.CL2023★ 12 cited

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…

cs.SI2023★ 9 cited

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.…