Concept

Tracking the Twitter attention around the research efforts on the COVID-19 pandemic results - Twitter discussions on COVID-19-related research

  • Co-occurrence network of terms in tweets versus the original contents in the publications
  • 601 most relevant terms are shown, making up 5 clusters of Twitter discussion topics regarding COVID-19-related research and publications
  • Each term was assigned the average post date score
  • Clusters 1 (clinical characteristics and transmission risks) and 3 (comparisons with other viruses) are depicted in lighter colors to indicate that these terms were mentioned towards the beginning of the outbreak
  • Clusters 2 (clinical trials and potential treatments), 4 (virus persistence under different circumstances), and 5 (governmental measures and social responses) are shown in darker colors to demonstrate a gradual shift in attention to these topics for further research
  • Also looked at 219 hashtags each mentioned at least 50 times
  • In the earlier stages, Twitter users focused on COVID-19 in China, and later transitioned to hashtags associated with healthcare measures

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Updated 2021-02-23

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CSCW (Computer-supported cooperative work)

Computing Sciences