Trolling in social media: a deindividuation and contagion perspective

IF 8.2 2区 管理学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS
Mohammad Alamgir Hossain, Mohammed Quaddus, Shahriar Akter, Patrick Mikalef, Matthew Warren
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引用次数: 0

Abstract

Trolling on social media has a profound impact on its victims, yet existing literature offers a limited understanding of the factors driving this behavior. This study applies deindividuation and contagion theories to explore the phenomenon, surveying 337 Facebook users and 275 Instagram users and analyzing the data using SEM-PLS and fsQCA methods. The SEM results indicate that digital anonymity and dispersed collectivity both directly and indirectly impact trolling behavior, mediated by a loss of self-consciousness and a diffused sense of responsibility. The fsQCA analysis reveals four distinct equifinal configurations that predict trolling behavior, one for each platform, providing new insights into the research on trolling. This study contributes to the theoretical understanding of trolling and offers practical implications for addressing this issue.
社交媒体上的网络喷子:去个性化和传染的视角
社交媒体上的喷子对受害者有着深远的影响,然而现有的文献对驱动这种行为的因素的理解有限。本研究运用去个性化和传染理论来探讨这一现象,调查了337名Facebook用户和275名Instagram用户,并使用SEM-PLS和fsQCA方法分析数据。SEM结果表明,数字匿名性和分散的集体在自我意识丧失和责任感分散的介导下,直接和间接地影响了网络喷子行为。fsQCA分析揭示了预测钓鱼行为的四种不同的等效配置,每个平台一个,为钓鱼研究提供了新的见解。本研究有助于对网络钓鱼的理论理解,并为解决这一问题提供了实际意义。
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
Information & Management
Information & Management 工程技术-计算机:信息系统
CiteScore
17.90
自引率
6.10%
发文量
123
审稿时长
1 months
期刊介绍: Information & Management is a publication that caters to researchers in the field of information systems as well as managers, professionals, administrators, and senior executives involved in designing, implementing, and managing Information Systems Applications.
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