Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
Fake news and COVID-19: modelling the predictors of fake news sharing among social media users
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DOI：
10.1016/j.tele.2020.101475
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发表时间：
2021-01-01
影响因子：
8.5
通讯作者：
Omar, Bahiyah
中科院分区：
文献类型：
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作者：
Apuke, Oberiri Destiny;Omar, Bahiyah
近几个月来，关于COVID-19的假新闻传播有所增加，导致这种错误信息共享的因素研究较少。因此，本文描述了尼日利亚样本（n = 385）关于COVID-19假新闻扩散的结果。假新闻现象是使用使用和满足的框架，这是由一个“利他主义”的动机扩展研究。数据使用偏最小二乘法（PLS）进行分析，以确定六个变量对假新闻分享结果的影响。我们的研究结果表明，利他主义是预测COVID-19假新闻分享的最重要因素。我们还发现，社交媒体用户分享信息、社交、寻求信息和打发时间的动机预测了有关COVID-19的虚假信息的分享。相比之下，没有显着的协会被发现的娱乐动机。我们得出了一些理论和实践的影响。
Fake news dissemination on COVID-19 has increased in recent months, and the factors that lead to the sharing of this misinformation is less well studied. Therefore, this paper describes the result of a Nigerian sample (n = 385) regarding the proliferation of fake news on COVID-19. The fake news phenomenon was studied using the Uses and Gratification framework, which was extended by an "altruism" motivation. The data were analysed with Partial Least Squares (PLS) to determine the effects of six variables on the outcome of fake news sharing. Our results showed that altruism was the most significant factor that predicted fake news sharing of COVID-19. We also found that social media users' motivations for information sharing, socialisation, information seeking and pass time predicted the sharing of false information about COVID-19. In contrast, no significant association was found for entertainment motivation. We concluded with some theoretical and practical implications.