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

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

doi:10.1109/ICOCO53166.2021.9673574

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

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

Global Education Center

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

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.

Original language	English
Title of host publication	2021 IEEE International Conference on Computing, ICOCO 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	66-70
Number of pages	5
ISBN (Electronic)	9781665436892
DOIs	https://doi.org/10.1109/ICOCO53166.2021.9673574
Publication status	Published - 2021
Event	2021 IEEE International Conference on Computing, ICOCO 2021 - Virtual, Online, Malaysia Duration: 2021 Nov 17 → 2021 Nov 19

Publication series

Name	2021 IEEE International Conference on Computing, ICOCO 2021

Conference

Conference	2021 IEEE International Conference on Computing, ICOCO 2021
Country/Territory	Malaysia
City	Virtual, Online
Period	21/11/17 → 21/11/19

Keywords

Promoting identification experience
corrective articles
fake articles
opinion trends
social media

ASJC Scopus subject areas

Artificial Intelligence
Computer Networks and Communications
Computer Science Applications
Information Systems and Management
Safety, Risk, Reliability and Quality

Access to Document

10.1109/ICOCO53166.2021.9673574

Cite this

Onuma, R., Nakayama, H., Kaminaga, H., Miyadera, Y., & Nakamura, S. (2021). Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake. In 2021 IEEE International Conference on Computing, ICOCO 2021 (pp. 66-70). (2021 IEEE International Conference on Computing, ICOCO 2021). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICOCO53166.2021.9673574

Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake. / Onuma, Ryo; Nakayama, Hiroki; Kaminaga, Hiroaki et al.
2021 IEEE International Conference on Computing, ICOCO 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 66-70 (2021 IEEE International Conference on Computing, ICOCO 2021).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Onuma, R, Nakayama, H, Kaminaga, H, Miyadera, Y & Nakamura, S 2021, Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake. in 2021 IEEE International Conference on Computing, ICOCO 2021. 2021 IEEE International Conference on Computing, ICOCO 2021, Institute of Electrical and Electronics Engineers Inc., pp. 66-70, 2021 IEEE International Conference on Computing, ICOCO 2021, Virtual, Online, Malaysia, 21/11/17. https://doi.org/10.1109/ICOCO53166.2021.9673574

Onuma R, Nakayama H, Kaminaga H, Miyadera Y, Nakamura S. Methods of Analyzing Social Media Articles for Promoting Experience of Doubting Fake. In 2021 IEEE International Conference on Computing, ICOCO 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 66-70. (2021 IEEE International Conference on Computing, ICOCO 2021). doi: 10.1109/ICOCO53166.2021.9673574

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abstract = "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. ",

keywords = "Promoting identification experience, corrective articles, fake articles, opinion trends, social media",

author = "Ryo Onuma and Hiroki Nakayama and Hiroaki Kaminaga and Youzou Miyadera and Shoichi Nakamura",

note = "Funding Information: ACKNOWLEDGMENT This work was supported in part by Japan Society for the Promotion of Science under Grant-in-Aid for Young Scientists (No. 21K13637). Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Computing, ICOCO 2021 ; Conference date: 17-11-2021 Through 19-11-2021",

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

Abstract

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Keywords

ASJC Scopus subject areas

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