{"title":"Why share debunking information? Investigating the relationship between motivation, sharing behavior, gratification, and continuous sharing intentions","authors":"Fan Chao , Guang Yu , Yuan Sun","doi":"10.1016/j.tele.2025.102280","DOIUrl":null,"url":null,"abstract":"<div><div>The widespread dissemination of debunking information is essential for effectively controlling rumors. This study integrates the uses and gratifications theory with media system dependency theory and employs two survey studies to examine the complex relationships among social media usage motivations, willingness to share debunking information, gratification, and continued sharing intentions. The findings indicate that, in the context of debunking information sharing, motivations related to self-expression, altruism, and entertainment are significant within the three-goal categories of understanding, orientation, and play in individuals’ media system dependencies. Users with stronger motivations in these areas are more inclined to share debunking information. Additionally, the willingness to share debunking information positively influences users’ gratification, with this effect being more pronounced when the audience size is larger. Furthermore, higher gratification derived from sharing debunking information strengthens users’ continued intention to share. However, habitual sharing weakens this relationship. These findings contribute to a deeper understanding of social media users’ debunking information-sharing behaviors from the perspective of information recipients. The study also provides actionable strategies for practitioners to enhance the effectiveness of debunking information dissemination.</div></div>","PeriodicalId":48257,"journal":{"name":"Telematics and Informatics","volume":"99 ","pages":"Article 102280"},"PeriodicalIF":7.6000,"publicationDate":"2025-04-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Telematics and Informatics","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0736585325000425","RegionNum":2,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0
Abstract
The widespread dissemination of debunking information is essential for effectively controlling rumors. This study integrates the uses and gratifications theory with media system dependency theory and employs two survey studies to examine the complex relationships among social media usage motivations, willingness to share debunking information, gratification, and continued sharing intentions. The findings indicate that, in the context of debunking information sharing, motivations related to self-expression, altruism, and entertainment are significant within the three-goal categories of understanding, orientation, and play in individuals’ media system dependencies. Users with stronger motivations in these areas are more inclined to share debunking information. Additionally, the willingness to share debunking information positively influences users’ gratification, with this effect being more pronounced when the audience size is larger. Furthermore, higher gratification derived from sharing debunking information strengthens users’ continued intention to share. However, habitual sharing weakens this relationship. These findings contribute to a deeper understanding of social media users’ debunking information-sharing behaviors from the perspective of information recipients. The study also provides actionable strategies for practitioners to enhance the effectiveness of debunking information dissemination.
期刊介绍:
Telematics and Informatics is an interdisciplinary journal that publishes cutting-edge theoretical and methodological research exploring the social, economic, geographic, political, and cultural impacts of digital technologies. It covers various application areas, such as smart cities, sensors, information fusion, digital society, IoT, cyber-physical technologies, privacy, knowledge management, distributed work, emergency response, mobile communications, health informatics, social media's psychosocial effects, ICT for sustainable development, blockchain, e-commerce, and e-government.