Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake

Ryo Onuma, Hiroki Nakayama, Hiroaki Kaminaga, Youzou Miyadera, Shoichi Nakamura

研究成果: Conference contribution

抄録

Social media is increasingly used as a tool for acquiring and disseminating information. However, there are many fake articles and falsehoods. Accordingly, to make good use of social media, it is important to examine the authenticity of an article, but such examination is often difficult for unskilled people. In this research, we aim to realize a method for to promote experience in identifying fake articles by focusing on the opinion trends of article readers. Here, we describe a framework for this method, including extraction of fake articles and related articles, with a focus on citations.

本文言語English
ホスト出版物のタイトル2021 IEEE International Conference on Computing, ICOCO 2021
出版社Institute of Electrical and Electronics Engineers Inc.
ページ66-70
ページ数5
ISBN(電子版)9781665436892
DOI
出版ステータスPublished - 2021
イベント2021 IEEE International Conference on Computing, ICOCO 2021 - Virtual, Online, Malaysia
継続期間: 2021 11月 172021 11月 19

出版物シリーズ

名前2021 IEEE International Conference on Computing, ICOCO 2021

Conference

Conference2021 IEEE International Conference on Computing, ICOCO 2021
国/地域Malaysia
CityVirtual, Online
Period21/11/1721/11/19

ASJC Scopus subject areas

  • 人工知能
  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用
  • 情報システムおよび情報管理
  • 安全性、リスク、信頼性、品質管理

フィンガープリント

「Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル