Presentation information

Poster presentation

General Session » Interactive

[4Pin1] インタラクティブ(2)

Fri. Jun 8, 2018 9:00 AM - 10:40 AM Room P (4F Emerald Lobby)

9:00 AM - 10:40 AM

[4Pin1-26] Support for Searching for Articles to be Verified for Fact Checking

〇Kaori Uchiyama1, Kaito Suzuki1, Tsubasa Tagami1, Kazuaki Hanawa1, Kentaro Inui1,2, Atsushi Komiya3, Atsuo Fujimura3, Akinori Machino, Hitofumi Yanai4, Ryo Yamashita4 (1. Tohoku University, 2. RIKEN Center for Advanced Intelligence Project, 3. SmartNews, Inc., 4. Watchdog for Accuracy inNews-reporting, Japan)

Keywords:Natural Language Processing

False information have become a social problem and it is necessary to verify huge information such as news articles on the Internet. In this paper, we constructed a support system to efficiently verify the authenticity of news articles. This system estimates news articles that describe incorrect information based on posts that refer to them on SNS. We found that it can be expected to improve efficiency of searching for articles that require human verification by using the created system.