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Detection and Resolution of Rumors and Misinformation with NLP

2020-12-01 · COLING 2020 8 · Leon Derczynski, Arkaitz Zubiaga

Detecting and grounding false and misleading claims on the web has grown to form a substantial sub-field of NLP. The sub-field addresses problems at multiple different levels of misinformation detection: identifying check-worthy claims; tracking claims and rumors; rumor collection and annotation; grounding claims against knowledge bases; using stance to verify claims; and applying style analysis to detect deception. This half-day tutorial presents the theory behind each of these steps as well as the state-of-the-art solutions.

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Misinformation

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