Table 1.
Previous research on COVID-19–related misinformation on social media.
Study | Title | Method | Data | Source |
Song et al [9] | The South Korean government’s response to combat COVID-19 misinformation: analysis of “Fact and Issue Check” on the Korea Centers for Disease Control and Prevention website | Content analysis | 90 posts | Korea Centers for Disease Control and Prevention (KCDC) website |
Kouzy et al [3] | Coronavirus goes viral: quantifying the COVID19 misinformation epidemic on Twitter | Statistical analysis | 673 tweets | |
Ceron et al [8] | Fake news agenda in the era of COVID-19: identifying trends through fact-checking content | Topic analysis | 5115 tweets | |
Qin [29] | Analysis of the characteristics of health rumors in public health emergencies: Taking the “Shuanghuanglian” incident during the COVID-19 as an example | Case analysis | 134 headings | COVID-19–related rumor list announced by Dingxiangyuan.com |
Chen and Tang [27] | Analysis of circulating characteristics of rumors on Weibo in public emergencies: a case study of COVID-19 epidemic | Coding and visual analysis | 968 posts | Weibo Rumor Refuting |