Impact of Monetary Rewards on Users’ Behavior in Social Media

Yutaro Usui*, Fujio Toriumi, Toshiharu Sugawara

*この研究の対応する著者

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper investigates the impact of monetary rewards on behavioral strategies and the quality of posts in consumer generated media (CGM). In recent years, some CGM platforms have introduced monetary rewards as an incentive to encourage users to post articles. However, the impact of monetary rewards on users has not been sufficiently clarified. Therefore, to investigate the impact of monetary rewards, we extend the SNS-norms game, which models SNSs based on the evolutionary game theory, by incorporating the model of monetary rewards, the users’ preferences for them, and their efforts for article quality. The results of the experiments on several types of networks indicate that monetary rewards promote posting articles but significantly reduce the article quality. Particularly, when the value of the monetary reward is small, it significantly reduces the utilities of all the users owing to a decrease in quality. We also found that individual user preferences for monetary rewards had a clear difference in their behavior.

本文言語English
ホスト出版物のタイトルComplex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021
編集者Rosa Maria Benito, Chantal Cherifi, Hocine Cherifi, Esteban Moro, Luis M. Rocha, Marta Sales-Pardo
出版社Springer Science and Business Media Deutschland GmbH
ページ632-643
ページ数12
ISBN(印刷版)9783030934088
DOI
出版ステータスPublished - 2022
イベント10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021 - Madrid, Spain
継続期間: 2021 11月 302021 12月 2

出版物シリーズ

名前Studies in Computational Intelligence
1015
ISSN(印刷版)1860-949X
ISSN(電子版)1860-9503

Conference

Conference10th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2021
国/地域Spain
CityMadrid
Period21/11/3021/12/2

ASJC Scopus subject areas

  • 人工知能

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