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Quantitative Study of Mis/Disinformation

Sun, September 8, 8:00 to 9:30am, Pennsylvania Convention Center (PCC), 110B

Session Submission Type: Created Panel

Session Description

The panel features applications of AI and machine learning techniques to address the challenges posed by misinformation and disinformation on social media. The papers emphasize the development and implementation of automated tools and models, like large language models, locality sensitive hashing, and NLP techniques, to detect, analyze, and counteract false information efficiently. These approaches aim to enhance the timely and accurate identification of problematic content, track the diffusion of narratives globally, and assess the impact and spread of misinformation, especially in politically sensitive contexts.

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