A link communities analysis of the UK Instagram Covid-19 searchable metadiscourse

Chamil Rathnayake, Daniel Suthers

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)
33 Downloads (Pure)


Many studies focus on utterances included within specific hashtags. This approach does not adequately acknowledge the fact that social media discourse is distributed across a wide range of hashtags. To assess such ‘width of discourse’, we examine the extent to which dominant hashtags in the UK Covid-19 Instagram discourse connect with hashtags related to different aspects of social life. A network of Instagram hashtags (31,742 nodes and 107,367 edges) constructed using #nhsheroes, #captaintommoore, and #carehomes as key access points was analysed. Results showed that top nodes in the network representing these and other topics related to the pandemic are highly intertwined. Moreover, results revealed that despite connections among each other, hubs in this network tend to connect more with low degree frames, connecting secondary hashtags to the Covid-19 searchable discourse. Results revealed that a diverse set of local structures consisting of secondary frames are nested within pandemic related communities.
Original languageEnglish
Number of pages10
Publication statusPublished - 8 Jan 2021
EventInternational Conference on System Sciences - Virtual, Hawaii, United States
Duration: 5 Jan 20218 Jan 2021


ConferenceInternational Conference on System Sciences
Abbreviated title HICSS 54
Country/TerritoryUnited States
Internet address


  • metadiscourse
  • COVID-19
  • Instagram
  • hashtags


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