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Annotation-Scheme Reconstruction for "Fake News" and Japanese Fake News Dataset. (arXiv:2204.02718v1 [cs.CL])
April 7, 2022, 1:11 a.m. | Taichi Murayama, Shohei Hisada, Makoto Uehara, Shoko Wakamiya, Eiji Aramaki
cs.CL updates on arXiv.org arxiv.org
Fake news provokes many societal problems; therefore, there has been
extensive research on fake news detection tasks to counter it. Many fake news
datasets were constructed as resources to facilitate this task. Contemporary
research focuses almost exclusively on the factuality aspect of the news.
However, this aspect alone is insufficient to explain "fake news," which is a
complex phenomenon that involves a wide range of issues. To fully understand
the nature of each instance of fake news, it is important …
More from arxiv.org / cs.CL updates on arXiv.org
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