Who's Writing the Fake News on Social Media?
By The Editors
Machine-learning models help uncover the hidden authors of misleading tweets and other online content.
February 13, 2024
With the prevalence of fake news and cyber-crimes, it has become increasingly difficult to determine authorship of information on online social networks. Forensic professionals, researchers, and regular users require methods for determining authorship, says Siobahn Day Grady, an assistant professor of information systems at North Carolina Central University. Authorship attribution will be a solution to determining the veracity of these sources as well as a preventative measure in stalling these types of occurrences, she says. Her research, which she spoke about at American Scientist's Science by the Slice series on October 5, 2023, includes using machine learning to solve problems related to authorship determination and its effects on misinformation.
A video of Day Grady's talk is below, followed by highlights of the talk in the form of live-tweeting from Science Communicators of North Carolina's intern Taylor Tibbs.
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