Estimating Neutrality of News Articles and Reactions on Twitter

Taketoshi Ushiama, Tenyu Kawaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In recent years, many people have started to browse news articles on social networking sites and to use the reactions to news articles as a reference for understanding the news. However, owing to the bias of the news articles posted on social network services (SNSs) and the reactions to them, user misunderstanding of news has become a social problem. To address this problem, based on the idea that the neutrality of news articles and reactions can be estimated and presented to users, this paper proposes a metric for estimating the neutrality of news called "popularity value."Popularity value is calculated based on the strength of the daily interest in the news topic among users who responded to the news article on Twitter and the distribution of the responding users based on the strength of their daily interest. Through evaluation experiments, we show that the proposed popularity value is effective in predicting the neutrality of news articles posted on SNSs and reactions to them.

Original languageEnglish
Title of host publicationProceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
EditorsSukhan Lee, Hyunseung Choo, Roslan Ismail
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781665426787
DOIs
Publication statusPublished - 2022
Event16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022 - Seoul, Korea, Republic of
Duration: Jan 3 2022Jan 5 2022

Publication series

NameProceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022

Conference

Conference16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
Country/TerritoryKorea, Republic of
CitySeoul
Period1/3/221/5/22

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems

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