人工知能学会第二種研究会資料
Online ISSN : 2436-5556
医療における虚偽の内容を含むブログ記事の分析・対応策の検討
江間 勇希鳥海 不二夫高野 雅典
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研究報告書・技術報告書 フリー

2022 年 2022 巻 BI-020 号 p. 16-

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With the spread of COVID-19, medical disinformation has been actively disseminated on social media. Medical disinformation is dangerous because it may cause people to do actions directly related to human life and it is difficult to judge whether it is right or wrong. Therefore, Social media is required to correspond to this situation. In this paper, we focused on blog posts. We classified and analyzed blog posts containing medical false contents under COVID-19. As a result, we found that it is possible to classify blog posts with high accuracy by using browsing information, that false blogs contain contents that incite anxiety, and that they tend to lead people to information products and quote social media as evidence.

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