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Arresting fake news sharing on social media: a theory of planned behavior approach

机译:在社交媒体上逮捕假新闻分享:计划行为方法的理论

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Purpose - This study aims to examine the collective impact of awareness and knowledge about fake news, attitudes toward news verification, perceived behavioral control, subjective norms, fear of missing out (FoMO) and sadism on social media users' intention to verify news before sharing on social media. Design/methodology/approach - The current study's conceptual framework is developed by a comprehensive literature review on social networking and the theory of planned behavior. The data for samples were collected from 400 respondents in India to test the conceptual framework using the partial least square-structural equation modeling technique. Findings - The results show that awareness and knowledge, perceived behavioral control, attitudes toward news verification and FoMO are significant predictors of intention to verify news before sharing. Research limitations/implications - The present study concludes implications for managers of social media companies and policy actors that want to take steps toward arresting the spread of fake news via social media. Originality/value - Academic investigation on fake news sharing on social media has recently gained traction. The current work is unique because it uses the theory of planned behavior as a basis for predicting social media user's intention to verify news before sharing on social media.
机译:目的 - 本研究旨在审查认识和知识对假新闻,对新闻核查的态度,感知行为控制,主观规范,对社会媒体用户意图验证新闻的恐惧症的态度的集体影响在社交媒体上。设计/方法/方法 - 目前的研究概念框架是通过关于社交网络的全面文献综述和计划行为理论而开发。从印度的400名受访者收集样品的数据,以测试使用部分最小二乘结构方程建模技术的概念框架。结果 - 结果表明,认识和知识,感知行为控制,新闻验证和FOMO的态度是意图验证在分享前验证新闻的重要预测因素。研究限制/影响 - 本研究结束了社会媒体公司管理人员的影响,这些公司希望通过社交媒体采取措施逮捕假新闻传播的措施。最近获得牵引的原创/价值 - 关于社交媒体的假新闻共享的学术调查。目前的工作是独一无二的,因为它使用计划的行为理论作为预测社交媒体用户在共享社交媒体上之前验证新闻的基础。

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