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arXiv · 1810.11663

Suspicious News Detection Using Micro Blog Text

Tsubasa Tagami·Hiroki Ouchi·Hiroki Asano·Kazuaki Hanawa·Kaori Uchiyama·Kaito Suzuki·Kentaro Inui·Atsushi Komiya·Atsuo Fujimura·Hitofumi Yanai·Ryo Yamashita·Akinori Machino
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Abstract

We present a new task, suspicious news detection using micro blog text. This task aims to support human experts to detect suspicious news articles to be verified, which is costly but a crucial step before verifying the truthfulness of the articles. Specifically, in this task, given a set of posts on SNS referring to a news article, the goal is to judge whether the article is to be verified or not. For this task, we create a publicly available dataset in Japanese and provide benchmark results by using several basic machine learning techniques. Experimental results show that our models can reduce the cost of manual fact-checking process.

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Tsubasa Tagami, Hiroki Ouchi, Hiroki Asano, Kazuaki Hanawa, Kaori Uchiyama, Kaito Suzuki, Kentaro Inui, Atsushi Komiya, Atsuo Fujimura, Hitofumi Yanai, Ryo Yamashita, Akinori Machino. 2018-10-27. Suspicious News Detection Using Micro Blog Text. https://arxiv.org/abs/1810.11663

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