Volume 22, Issue 4
  • ISSN 1569-2159
  • E-ISSN: 1569-9862
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This study examines how emergent Twitter publics are organised and engage with political scandal and personalisation during Covid-19 in the UK. The analysis is centred on a series of media events around Chief Adviser to the then-UK Prime Minister, running from May 2020 to May 2021. The samples comprises original tweets that contain key hashtags, amounting to 38,326 items. These are subject to topic model analysis to identify semantic fields, before using critical discourse analysis. We find hashtags help constitute emergent Twitter publics, and that tweets follow conversational patterns and conspire in tactics of intertextuality. Dissention to government conduct engages resourcefully with the affordances of Twitter: constituting publics, shaping discourse, and articulating with parallel discussions on political performance. Further, a computational approach can systematise the identification of domains of discourse and relevant lexical sets, providing an evidence-based understanding of even novel and emergent political discourses in online discussion.


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  1. Abidin, Crystal, and Jing Zeng
    2020 “Feeling Asian Together: Coping with #COVIDRacism on Subtle Asian Traits.” Social Media and Society6 (3). 10.1177/2056305120948223
    https://doi.org/10.1177/2056305120948223 [Google Scholar]
  2. Babvey, Pouria, Fernanda Capela, Claudia Cappa, Carlo Lipizzi, Nicole Petrowski, and Jose Ramirez-Marquez
    2020 “Using Social Media Data for Assessing Children’s Exposure to Violence during the COVID-19 Pandemic.” Child Abuse and Neglect1161. 10.1016/j.chiabu.2020.104747
    https://doi.org/10.1016/j.chiabu.2020.104747 [Google Scholar]
  3. BBCNews
    BBCNews 2020a “Coronavirus: I Don’t Regret What I Did, Says Dominic Cummings.” https://www.bbc.co.uk/news/uk-politics-52800595
  4. BBCNews
    BBCNews 2020b “Dominic Cummings: Fact-Checking the Row.” https://www.bbc.co.uk/news/52828076
  5. BBCNews
    BBCNews 2021 “Dominic Cummings Launches Attack on Boris Johnson’s Integrity.” https://www.bbc.co.uk/news/uk-politics-56863547
  6. Blei, David M.
    2012 “Probabilistic Topic Models.” Communications of the ACM55 (4): 77–84. 10.1145/2133806.2133826
    https://doi.org/10.1145/2133806.2133826 [Google Scholar]
  7. Blei, David M., Andrew Y. Ng, and Michael I. Jordan
    2003 “Latent Dirichlet Allocation.” Journal of Machine Learning Research31: 993–1022.
    [Google Scholar]
  8. Bode, Leticia, and Emily K. Vraga
    2021 “Correction Experiences on Social Media during COVID-19.” Social Media and Society7 (2). 10.1177/20563051211008829
    https://doi.org/10.1177/20563051211008829 [Google Scholar]
  9. Boorstin, Daniel J.
    1963The Image, or What Happened to the American Dream. New York: Atheneum.
    [Google Scholar]
  10. Boulianne, Shelley, Karolina Koc-Michalska and Bruce Bimber
    2020 “Right-wing populism, social media and echo chambers in Western democracies.” New Media and Society22 (4): 683–699. 10.1177/1461444819893983
    https://doi.org/10.1177/1461444819893983 [Google Scholar]
  11. Boyd, Danah, and Kate Crawford
    2012 “Critical Questions for Big Data: Provocations for a Cultural, Technological, and Scholarly Phenomenon.” Information Communication & Society15 (5): 662–79. 10.1080/1369118X.2012.678878
    https://doi.org/10.1080/1369118X.2012.678878 [Google Scholar]
  12. Brinton, Laurel J.
    2000The Structure of Modern English: A Linguistic Introduction. Amsterdam: John Benjamins. 10.1075/z.94
    https://doi.org/10.1075/z.94 [Google Scholar]
  13. Bruns, Axel, and Jean Burgess
    2011 “The Use of Twitter Hashtags in the Formation of Ad Hoc Publics.” InPaper Presented at the 6th European Consortium for Political Research General Conference. University of Iceland, Reykjavik.
    [Google Scholar]
  14. Committees.parliament.uk.
    Committees.parliament.uk. 2021 “Oral Evidence: Coronavirus: Lessons Learnt, HC 95” 2021 https://committees.parliament.uk/oralevidence/2249/html/
  15. Couldry, Nick, Andreas Hepp and Friedrich Krotz
    eds. 2010Media Events in a Global Age. London: Routledge.
    [Google Scholar]
  16. Cristian, Joe
    2020 “Topic Modeling LDA Using TextmineR and Tidytext.” https://rstudio-pubs-static.s3.amazonaws.com/643113_f2daf42a1919425194df1b50fe8bdbaa.html
  17. Cummings, Dominic
    2020 “‘Two hands are a lot’ — we’re hiring data scientists, project managers, policy experts, assorted weirdos…”, January2, https://dominiccummings.com/2020/01/02/two-hands-are-a-lot-were-hiring-data-scientists-project-managers-policy-experts-assorted-weirdos/
  18. D’heer, Evelien, and Pieter Verdegem
    2014 “Conversations about the Elections on Twitter: Towards a Structural Understanding of Twitter’s Relation with the Political and the Media Field.” European Journal of Communication29 (6): 720–34. 10.1177/0267323114544866
    https://doi.org/10.1177/0267323114544866 [Google Scholar]
  19. Dahlgren, Peter
    2005 “The Internet, Public Spheres, and Political Communication: Dispersion and Deliberation.” Political Communication22 (2): 147–62. 10.1080/10584600590933160
    https://doi.org/10.1080/10584600590933160 [Google Scholar]
  20. Dayan, Daniel and Elihu Katz
    1992Media Events: the Live Broadcasting of History. Cambridge, MA: Harvard University Press. 10.4159/9780674030305
    https://doi.org/10.4159/9780674030305 [Google Scholar]
  21. Drake, Philip and Michael Higgins
    2006 I’m a celebrity, get me into politics, InFraming Celebrity: New Directions in Celebrity Culture, edited bySu Holmes and Sean Redmond, 87–100. London: Routledge.
    [Google Scholar]
  22. Evans, Brynn M., and Ed H. Chi
    2008 “Towards a Model of Understanding Social Search.” Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW, 485–94. 10.1145/1460563.1460641
    https://doi.org/10.1145/1460563.1460641 [Google Scholar]
  23. Fairclough, Norman
    1992Discourse and Social Change. Cambridge: Polity.
    [Google Scholar]
  24. 1995Media Discourse. London: Arnold.
    [Google Scholar]
  25. Freiling, Isabelle, Nicole M. Krause, Dietram A. Scheufele, and Dominique Brossard
    2021 “Believing and Sharing Misinformation, Fact-Checks, and Accurate Information on Social Media: The Role of Anxiety during COVID-19.” New Media and Society25 (1): 141–162. 10.1177/14614448211011451
    https://doi.org/10.1177/14614448211011451 [Google Scholar]
  26. Garland, Ruth
    2018 “Is post-truth another word for political spin or a radical departure from it? Evidence from behind the scenes in UK government communications, 1997–2015.” International Journal of Media and Cultural Politics14 (3): 333–50. https://www.ingentaconnect.com/content/intellect/mcp/2018/00000014/00000003/art00005. 10.1386/macp.14.3.333_1
    https://doi.org/10.1386/macp.14.3.333_1 [Google Scholar]
  27. Gannon, Peter, and Pam Czerniewska
    1980Using Linguistics: An Educational Focus. London: Edward Arnold.
    [Google Scholar]
  28. Guardian
    2020a “Boris Johnson Boots out Top Adviser Dominic Cummings.” Guardian, The. https://www.theguardian.com/politics/2020/nov/13/dominic-cummings-has-already-left-job-at-no-10-reports
  29. 2021 “Cummings Lambasts Johnson in Damning Account of Covid Crisis.” https://www.theguardian.com/politics/2021/may/26/boris-johnson-is-unfit-to-be-prime-minister-says-dominic-cummings
  30. Gupta, Marichi, Aditya Bansal, Bhav Jain, Jillian Rochelle, Atharv Oak, and Mohammad S. Jalali
    2021 “Whether the Weather Will Help Us Weather the COVID-19 Pandemic: Using Machine Learning to Measure Twitter Users’ Perceptions.” International Journal of Medical Informatics1451. 10.1016/j.ijmedinf.2020.104340
    https://doi.org/10.1016/j.ijmedinf.2020.104340 [Google Scholar]
  31. Higgins, Michael
    2019 “The Donald: celebrity, authenticity and accountability”, InTrump’s Media Waredited byCatherine Happer, Andrew Hoskins and William Merrin, pp.129–141. Basingstoke: Palgrave. 10.1007/978‑3‑319‑94069‑4_9
    https://doi.org/10.1007/978-3-319-94069-4_9 [Google Scholar]
  32. Higgins, Michael and Angela Smith
    2014 “Disaffiliation and belonging: Twitter and its agonistic publics”, Sociologia e Politiche Sociali17(2): 77–89. 10.3280/SP2014‑002005
    https://doi.org/10.3280/SP2014-002005 [Google Scholar]
  33. Honeyman, Victoria
    2022 “The Johnson factor: British national identity and Boris Johnson.” British Politicshttps://link.springer.com/article/10.1057/s41293-022-00211-0
    [Google Scholar]
  34. Hou, Keke, Tingting Hou and Lili Cai
    2021 “Public attention about COVID-19 on social media: An investigation based on data mining and text analysis,” Personality and Individual Differences175(January), 110701. 10.1016/j.paid.2021.110701
    https://doi.org/10.1016/j.paid.2021.110701 [Google Scholar]
  35. Jones, Nick
    2000Sultans of Spin, London: Gollancz.
    [Google Scholar]
  36. Jones, Tommy
    2017 “Question: Which Coherence Measure Used? Useful for Topic Model Validation?” Https://Github.Com/TommyJones. https://github.com/TommyJones/textmineR/issues/35
  37. 2019 “A Coefficient of Determination for Probabilistic Topic Models.” arxiv.org/abs/1911.11061
  38. Koh, Jing Xuan, and Tau Ming Liew
    2020 “How Loneliness Is Talked about in Social Media during COVID-19 Pandemic: Text Mining of 4,492 Twitter Feeds.” Journal of Psychiatric Research1451: 317–324. 10.1016/j.jpsychires.2020.11.015
    https://doi.org/10.1016/j.jpsychires.2020.11.015 [Google Scholar]
  39. Krzyżanowski, Michal
    2018 “Social media in/and the politics of the European Union: politico-organizational communication, institutional cultures and self-inflicted elitism.” Journal of Language and Politics17 (2): 281–304. https://benjamins.com/catalog/jlp.18001.krz. 10.1075/jlp.18001.krz
    https://doi.org/10.1075/jlp.18001.krz [Google Scholar]
  40. Lyons, John
    1977Semantics. Cambridge: Cambridge University Press.
    [Google Scholar]
  41. Moffitt, Benjamin
    2016The Global Rise of Populism: Performance, Political Style, and Representation. Stanford: Stanford University Press.
    [Google Scholar]
  42. Schneiker, Andrea
    2019 “Telling the Story of the Superhero and the Anti-Politician as President: Donald Trump’s Branding on Twitter.” Political Studies Review17 (3): 210–23. 10.1177/1478929918807712
    https://doi.org/10.1177/1478929918807712 [Google Scholar]
  43. Smith, Angela and Michael Higgins
    2020 “Tough guys and little rocket men: @RealDonaldTrump’s Twitter feed and the normalisation of banal masculinity.” Social Semiotics30 (4): 547–562. 10.1080/10350330.2020.1763657
    https://doi.org/10.1080/10350330.2020.1763657 [Google Scholar]
  44. Stolee, Galen and Steve Caton
    2018 “Twitter, Trump, and the base: a shift to a new form of presidential talk?” Signs and Society6 (1): 147–165. 10.1086/694755
    https://doi.org/10.1086/694755 [Google Scholar]
  45. Strange, Louis
    2022 “Covid-19 and public responsibility: a multi-modal critical discourse analysis of blaming the public during the UK’s third wave.” Linguistic Landscape8 (2–3): 168–183. 10.1075/ll.21034.str
    https://doi.org/10.1075/ll.21034.str [Google Scholar]
  46. Thompson, John B.
    2000Political Scandal: Power and Visibility in the Media Age. Cambridge: Polity.
    [Google Scholar]
  47. Wheeler, Mark
    2013Celebrity Politics. Cambridge: Polity.
    [Google Scholar]
  48. Wodak, Ruth and Michael Meyer
    2016 “Critical discourse studies: history, agenda, theory and methodology”, InMethods of Critical Discourse Studies (3rd edition), 2–22edited byRuth Wodak and Michael Meyer. Sage.
    [Google Scholar]
  49. Wong, Adrian, Serene Ho and David Lyness
    2021 “The use of social media and online communications in times of pandemic Covid-19,” Journal of the Intensive Care Society22 (3): 255–260. 10.1177/1751143720966280
    https://doi.org/10.1177/1751143720966280 [Google Scholar]
  50. Zappavigna, Michele
    2018Searchable Talk: Hashtags and Social Media Metadiscourse. London: Bloomsbury.
    [Google Scholar]
  51. Zhao, Sumin, and Theo van Leeuwen
    2014 “Understanding Semiotic Technology in University Classrooms: A Social Semiotic Approach to PowerPoint-Assisted Cultural Studies Lectures.” Classroom Discourse5 (1): 71–90. 10.1080/19463014.2013.859848
    https://doi.org/10.1080/19463014.2013.859848 [Google Scholar]

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