The implications of account suspensions on online discussion platforms

IF 6.7 1区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Pattharin Tangwaragorn , Warut Khern-am-nuai , Wreetabrata Kar
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引用次数: 0

Abstract

This study explores the impact of temporary account suspensions on users' engagement in online platforms. Using observational data obtained through a collaboration with a prominent online discussion forum in Asia, we conduct empirical analyses that are guided by regulatory focus theory and reactance theory, and we use both propensity score matching and a difference-in-differences regression analysis to uncover insights. We find that suspended users post less frequently after they experience temporary account suspension, but that these users create longer content compared to those users who did not face account suspension. We also find that user characteristics (e.g., platform tenure, prior suspension history) moderate the impact of suspensions on content length and volume. Further, mechanism analyses reveal that content posted by users who experienced temporary account suspension receives more negative reactions from the community after the suspension, even when the content does not violate platform's content contribution guidelines. As a result, suspended users are more likely to leave a platform after the suspension. Our findings contribute to the literature that explores the effects of temporary suspensions on user-generated content management, as well as offer practical insights for platform managers who develop and enforce content moderation policies.
网络讨论平台账户封号的影响
本研究探讨了临时封号对在线平台用户参与度的影响。通过与亚洲知名在线论坛合作获得的观测数据,我们在监管焦点理论和抗拒理论的指导下进行了实证分析,并使用倾向得分匹配和差异中之差回归分析来揭示见解。我们发现,被暂停的用户在经历临时账户暂停后发布的频率较低,但与未面临账户暂停的用户相比,这些用户创建的内容更长。我们还发现,用户特征(例如,平台任期,先前的暂停历史)缓和了暂停对内容长度和数量的影响。此外,机制分析表明,被暂时封号的用户发布的内容在封号后受到社区更多的负面反应,即使这些内容没有违反平台的内容贡献准则。因此,被封号的用户在被封号后离开平台的可能性更大。我们的研究结果有助于探讨临时暂停对用户生成内容管理的影响的文献,并为制定和执行内容审核政策的平台管理人员提供实用的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Decision Support Systems
Decision Support Systems 工程技术-计算机:人工智能
CiteScore
14.70
自引率
6.70%
发文量
119
审稿时长
13 months
期刊介绍: The common thread of articles published in Decision Support Systems is their relevance to theoretical and technical issues in the support of enhanced decision making. The areas addressed may include foundations, functionality, interfaces, implementation, impacts, and evaluation of decision support systems (DSSs).
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