Detecting conspiracy theories on social media : improving machine learning to detect and understand online conspiracy theories /

Detecting conspiracy theories on social media : improving machine learning to detect and understand online conspiracy theories /

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Conspiracy theories circulated online via social media contribute to a shift in public discourse away from facts and analysis and can contribute to direct public harm. Social media platforms face a difficult technical and policy challenge in trying to mitigate harm from online conspiracy theory lang...

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Bibliographic Details
Main Authors: Marcellino, William (Author), Helmus, Todd C. (Author), Karimov, Rouslan I. (Author), Kerrigan, Joshua (Author), Lawrence, Rebecca Ann (Author), Reininger, Hilary (Author)
Format: Book
Language:English
Published: Santa Monica, Calif. : RAND Corporation, [2021]
Subjects:
Communication in politics > Technological innovations > United States
Conspiracy theories > Political aspects > United States
Conspiracy theories > United States > Psychological aspects
Machine learning > Technological innovations
Social media > Political aspects > United States
Communication in politics
Communication in politics > Technological innovations
Conspiracy theories
Machine learning
Psychological aspects
Social media
Social media > Political aspects
Technological innovations
United States

Internet

University of Pennsylvania

Holdings details from University of Pennsylvania
Call Number: JA85.2.U6 M37 2021

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