417 citations · 461 across the 14 of their papers we have counts for
6 papers · 1 filter
The Invisible Risks of AI-Generated Health Information
Matthew R. DeVerna, Harry Yaojun Yan, Kai-Cheng Yang +1
Generative artificial intelligence (AI) systems now summarize health-related search results, answer medical questions, and offer guidance people once sought from clinicians. These…
How Twitter Data Sampling Biases U.S. Voter Behavior Characterizations
Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer
Online social media are key platforms for the public to discuss political issues. As a result, researchers have used data from these platforms to analyze public opinions and foreca…
Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak
Kai-Cheng Yang, Christopher Torres-Lugo, Filippo Menczer
As the novel coronavirus spreads across the world, concerns regarding the spreading of misinformation about it are also growing. Here we estimate the prevalence of links to low-cre…
Scalable and Generalizable Social Bot Detection through Data Selection
Kai-Cheng Yang, Onur Varol, Pik-Mai Hui +1
Efficient and reliable social bot classification is crucial for detecting information manipulation on social media. Despite rapid development, state-of-the-art bot detection models…
Bot Electioneering Volume: Visualizing Social Bot Activity During Elections
Kai-Cheng Yang, Pik-Mai Hui, Filippo Menczer
It has been widely recognized that automated bots may have a significant impact on the outcomes of national events. It is important to raise public awareness about the threat of bo…
Arming the public with artificial intelligence to counter social bots
Kai-Cheng Yang, Onur Varol, Clayton A. Davis +3
The increased relevance of social media in our daily life has been accompanied by efforts to manipulate online conversations and opinions. Deceptive social bots -- automated or sem…