错误信息在社交媒体上的传播已成为对公共利益的严重威胁。例如,在COVID-19大流行期间,社交媒体的错误信息引发了几起公共卫生问题事件。在新兴的IS研究关注社交媒体和近期事件中错误信息的影响的背景下,如COVID-19,澳大利亚丛林大火,美国大选,我们发现了灾难,健康,和政治作为社交媒体错误信息研究综述的特定领域。经过系统的审查,我们选择了28篇文章,与三个主题相关,用于合成。我们讨论了三个领域中错误信息的特征,研究人员使用的方法,以及用来研究错误信息的理论。我们采用了一种前提-错误信息-结果(AMIO)框架,以整合先前研究的关键概念。基于AMIO框架,我们进一步讨论概念之间的相互关系以及控制错误信息在社交媒体上传播的策略。我们的评论是早期关注社交媒体错误信息研究的评论之一,特别是在三个社会敏感领域;灾难,健康,和政治。这篇评论有助于数据科学和社交媒体领域的新兴知识体系,并为打击社交媒体错误信息的策略提供信息。
The spread of misinformation in social media has become a severe threat to public interests. For example, several incidents of public health concerns arose out of social media misinformation during the COVID-19 pandemic. Against the backdrop of the emerging IS research focus on social media and the impact of misinformation during recent events such as the COVID-19, Australian Bushfire, and the USA elections, we identified disaster, health, and politics as specific domains for a research review on social media misinformation. Following a systematic review process, we chose 28 articles, relevant to the three themes, for synthesis. We discuss the characteristics of misinformation in the three domains, the methodologies that have been used by researchers, and the theories used to study misinformation. We adapt an Antecedents-Misinformation-Outcomes (AMIO) framework for integrating key concepts from prior studies. Based on the AMIO framework, we further discuss the inter-relationships of concepts and the strategies to control the spread of misinformation on social media. Ours is one of the early reviews focusing on social media misinformation research, particularly on three socially sensitive domains; disaster, health, and politics. This review contributes to the emerging body of knowledge in Data Science and social media and informs strategies to combat social media misinformation.