Fake news outlets, propagandists, conspiracy theorists, and social bots in the current media environment can easily generate misinformation, promote its diffusion, and amplify its societal harms. Regarding fact-checking and correction, however, only a few organizations and media outlets have resources to verify false information, authority to recommend corrections, and influence to suppress misinformation diffusion. The significant disparity between falsehood-spreaders and fact-checkers calls for improvements in present fact-checking and correction strategies.

This project searches for more efficient and strategic ways to track and fight misinformation propagation. It aims to detect multiple misleading arguments and quantified and visualized the dynamics of each argument in terms of its intensity, virality, and durability.