What motivates people to counter misinformation on social media? Unpacking the roles of perceived consequences, third-person perception and social media use

IF 3.1 3区 管理学 Q2 COMPUTER SCIENCE, INFORMATION SYSTEMS Online Information Review Pub Date : 2023-05-02 DOI:10.1108/oir-09-2022-0507
Chen Luo, Yijia Zhu, Anfan Chen
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引用次数: 1

Abstract

PurposeDrawing upon the third-person effect (TPE) theory, this study focuses on two types of misinformation countering intentions (i.e. simple correction and correction with justification). Accordingly, it aims to (1) assess the tenability of the third-person perception (TPP) in the face of misinformation on social media, (2) explore the antecedents of TPP and its relationship with individual-level misinformation countering intentions and (3) examine whether the mediating process is contingent on different social media usage conditions.Design/methodology/approachAn online survey was conducted with 1,000 representative respondents recruited in Mainland China in January 2022 using quota sampling. Paired t-test, multiple linear regression and moderated mediation analysis were employed to examine the proposed hypotheses.FindingsResults bolster the fundamental proposition of TPP that individuals perceive others as more susceptible to social media misinformation than they are. The self-other perceptual bias served as a mediator between the perceived consequence of misinformation and misinformation countering (i.e. simple correction and correction with justification) intentions. Furthermore, intensive social media users were likely to be motivated to counter social media misinformation derived from the indirect mechanism.Originality/valueThe findings provide further evidence for the role of TPE in explaining misinformation countering intention as prosocial and altruistic behavior rather than self-serving behavior. Practically, promising ways to combat rampant misinformation on social media include promoting the prosocial aspects and beneficial outcomes of misinformation countering efforts to others, as well as reconfiguring the strategies by impelling intensive social media users to participate in enacting countering actionsPeer reviewThe peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-09-2022-0507.
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是什么促使人们抵制社交媒体上的错误信息?揭示感知后果、第三人称感知和社交媒体使用的作用
本研究借鉴第三人效应理论,重点研究两种类型的错误信息对抗意图(即简单纠正和有理由纠正)。因此,本研究旨在(1)评估面对社交媒体上的错误信息时第三人称感知(TPP)的可成立性;(2)探索TPP的前因由及其与个人层面的错误信息反击意图的关系;(3)检验调解过程是否取决于不同的社交媒体使用条件。设计/方法/方法于2022年1月在中国大陆招募了1000名有代表性的受访者,采用配额抽样的方式进行了在线调查。采用配对t检验、多元线性回归和有调节的中介分析对提出的假设进行检验。研究结果支持了TPP的基本主张,即个人认为其他人比自己更容易受到社交媒体错误信息的影响。自我-他人知觉偏差在错误信息感知后果和错误信息反击(即简单纠正和正当纠正)意图之间起中介作用。此外,密集的社交媒体用户可能会受到间接机制产生的社交媒体错误信息的激励。原创性/价值这些发现为TPE在解释错误信息对抗意图是亲社会和利他行为而不是自私行为方面的作用提供了进一步的证据。实际上,打击社交媒体上猖獗的错误信息的有希望的方法包括促进反错误信息努力的亲社会方面和对他人有益的结果,以及通过推动大量社交媒体用户参与制定反行动来重新配置策略。
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来源期刊
Online Information Review
Online Information Review 工程技术-计算机:信息系统
CiteScore
6.90
自引率
16.10%
发文量
67
审稿时长
6 months
期刊介绍: The journal provides a multi-disciplinary forum for scholars from a range of fields, including information studies/iSchools, data studies, internet studies, media and communication studies and information systems. Publishes research on the social, political and ethical aspects of emergent digital information practices and platforms, and welcomes submissions that draw upon critical and socio-technical perspectives in order to address these developments. Welcomes empirical, conceptual and methodological contributions on any topics relevant to the broad field of digital information and communication, however we are particularly interested in receiving submissions that address emerging issues around the below topics. Coverage includes (but is not limited to): •Online communities, social networking and social media, including online political communication; crowdsourcing; positive computing and wellbeing. •The social drivers and implications of emerging data practices, including open data; big data; data journeys and flows; and research data management. •Digital transformations including organisations’ use of information technologies (e.g. Internet of Things and digitisation of user experience) to improve economic and social welfare, health and wellbeing, and protect the environment. •Developments in digital scholarship and the production and use of scholarly content. •Online and digital research methods, including their ethical aspects.
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