TY - GEN
T1 - Estimating Neutrality of News Articles and Reactions on Twitter
AU - Ushiama, Taketoshi
AU - Kawaguchi, Tenyu
N1 - Publisher Copyright:
© 2022 IEEE.
PY - 2022
Y1 - 2022
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=85127465993&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85127465993&partnerID=8YFLogxK
U2 - 10.1109/IMCOM53663.2022.9721781
DO - 10.1109/IMCOM53663.2022.9721781
M3 - Conference contribution
AN - SCOPUS:85127465993
T3 - Proceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
BT - Proceedings of the 2022 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
A2 - Lee, Sukhan
A2 - Choo, Hyunseung
A2 - Ismail, Roslan
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 16th International Conference on Ubiquitous Information Management and Communication, IMCOM 2022
Y2 - 3 January 2022 through 5 January 2022
ER -