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A Survey on Multimodal Disinformation Detection. (arXiv:2103.12541v2 [cs.MM] UPDATED)
Sept. 30, 2022, 1:20 a.m. | Firoj Alam, Stefano Cresci, Tanmoy Chakraborty, Fabrizio Silvestri, Dimiter Dimitrov, Giovanni Da San Martino, Shaden Shaar, Hamed Firooz, Preslav Nak
cs.CR updates on arXiv.org arxiv.org
Recent years have witnessed the proliferation of offensive content online
such as fake news, propaganda, misinformation, and disinformation. While
initially this was mostly about textual content, over time images and videos
gained popularity, as they are much easier to consume, attract more attention,
and spread further than text. As a result, researchers started leveraging
different modalities and combinations thereof to tackle online multimodal
offensive content. In this study, we offer a survey on the state-of-the-art on
multimodal disinformation detection covering …
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