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MDFEND: Multi-domain Fake News Detection. (arXiv:2201.00987v1 [cs.CL])
Jan. 5, 2022, 2:10 a.m. | Qiong Nan, Juan Cao, Yongchun Zhu, Yanyan Wang, Jintao Li
cs.CL updates on arXiv.org arxiv.org
Fake news spread widely on social media in various domains, which lead to
real-world threats in many aspects like politics, disasters, and finance. Most
existing approaches focus on single-domain fake news detection (SFND), which
leads to unsatisfying performance when these methods are applied to
multi-domain fake news detection. As an emerging field, multi-domain fake news
detection (MFND) is increasingly attracting attention. However, data
distributions, such as word frequency and propagation patterns, vary from
domain to domain, namely domain shift. Facing …
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