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08/21/2023
Artificial intelligence is ineffective and potentially harmful for fact checking
Fact checking can be an effective strategy against misinformation, but i...
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07/30/2023
Anatomy of an AI-powered malicious social botnet
Large language models (LLMs) exhibit impressive capabilities in generati...
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04/01/2023
Large language models can rate news outlet credibility
Although large language models (LLMs) have shown exceptional performance...
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12/17/2020
The COVID-19 Infodemic: Twitter versus Facebook
The global spread of the novel coronavirus is affected by the spread of ...
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10/26/2020
The Manufacture of Political Echo Chambers by Follow Train Abuse on Twitter
A growing body of evidence points to critical vulnerabilities of social ...
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06/11/2020
Detection of Novel Social Bots by Ensembles of Specialized Classifiers
Malicious actors create inauthentic social media accounts controlled in ...
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06/02/2020
How Twitter Data Sampling Biases U.S. Voter Behavior Characterizations
Online social media are key platforms for the public to discuss politica...
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05/17/2020
Neutral Bots Reveal Political Bias on Social Media
Social media platforms attempting to curb abuse and misinformation have ...
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04/29/2020
Prevalence of Low-Credibility Information on Twitter During the COVID-19 Outbreak
As the novel coronavirus spreads across the world, concerns regarding th...
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11/20/2019
Scalable and Generalizable Social Bot Detection through Data Selection
Efficient and reliable social bot classification is crucial for detectin...
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02/06/2019
Bot Electioneering Volume: Visualizing Social Bot Activity During Elections
It has been widely recognized that automated bots may have a significant...
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01/03/2019
Arming the public with artificial intelligence to counter social bots
The increased relevance of social media in our daily life has been accom...
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01/03/2019