误传
社会化媒体
社会认同理论
身份(音乐)
大流行
社会认同方法
心理学
社会心理学
社会团体
社会学
互联网隐私
计算机科学
2019年冠状病毒病(COVID-19)
万维网
医学
计算机安全
病理
物理
传染病(医学专业)
疾病
声学
作者
Wan Yi,Kim M. Thompson
摘要
This study explores the social factors that may impact individuals' evaluation process of pandemic-related misinformation through a socio-cognitive lens. We conducted eight semi-structured interviews to collect data from individuals. Content analysis was guided by framework analysis of the interview transcripts. The social factors revealed in the study are social identity, social groups, social authorities, social spaces, social media, and social algorithms. These factors work together and isolate individuals from heterogeneous information. Social identity may decide other factors; correspondingly, the information filtered by social groups, authorities, spaces, media, and algorithms reinforces individuals' social identity. The tendency may reinforce bias on pandemic information and put people at risk. The research may provide an implication to information platforms to reconsider their algorithm designs and a direction for information literacy training programs to break the deficit assumption on individuals.
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