Framing COVID-19: How we conceptualize and discuss the pandemic on Twitter
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Abstract (arXiv)
Doctors and nurses in these weeks are busy in the trenches, fighting against a new invisible enemy: Covid-19. Cities are locked down and civilians are besieged in their own homes, to prevent the spreading of the virus. War-related terminology is commonly used to frame the discourse around epidemics and diseases. Arguably the discourse around the current epidemic will make use of war-related metaphors too,not only in public discourse and the media, but also in the tweets written by non-experts of mass communication. We hereby present an analysis of the discourse around #Covid-19, based on a corpus of 200k tweets posted on Twitter during March and April 2020. Using topic modelling we first analyze the topics around which the discourse can be classified. Then, we show that the WAR framing is used to talk about specific topics, such as the virus treatment, but not others, such as the effects of social distancing on the population. We then measure and compare the popularity of the WAR frame to three alternative figurative frames (MONSTER, STORM and TSUNAMI) and a literal frame used as control (FAMILY). The results show that while the FAMILY literal frame covers a wider portion of the corpus, among the figurative framings WAR is the most frequently used, and thus arguably the most conventional one. However, we conclude, this frame is not apt to elaborate the discourse around many aspects involved in the current situation. Therefore, we conclude, in line with previous suggestions, a plethora of framing options, or a metaphor menu, may facilitate the communication of various aspects involved in the Covid-19-related discourse on the social media, and thus support civilians in the expression of their feelings, opinions and ideas during the current pandemic.
Key facts. Cited by 10 papers in the map (data through 7 Oct 2026). First posted on arXiv 15 Apr 2020.
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Citing papers per year: 2021: 1; 2022: 1; 2023: 2; 2024: 3; 2025: 1; 2026: 2.
10 papers.
- 2021Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Timecited by 5
- 2023mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detectioncited by 1
- 2024Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Mediacited by 1
- 2025Linguistic Patterns in Pandemic-Related Content: A Comparative Analysis of COVID-19, Constraint, and Monkeypox Datasetscited by 1
- 2022How do media talk about the Covid-19 pandemic? Metaphorical thematic clustering in Italian online newspaperscited by 0
- 2023Sentiment Analysis in Digital Spaces: An Overview of Reviewscited by 0
- 2024An Iterative Approach to Topic Modellingcited by 0
- 2024Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twittercited by 0
- 2026Framing Migration News with LLMs: Structured CoT as a Support for Human Interpretationcited by 0
- 2026War in the Abstract: The Rise and Consequences of Militarized Language in Scientific Communicationcited by 0
- 2026War in the Abstract: The Rise and Consequences of Militarized Language in Scientific Communication22 Jun 2026
- 2026Framing Migration News with LLMs: Structured CoT as a Support for Human Interpretation2 Jun 2026
- 2025Linguistic Patterns in Pandemic-Related Content: A Comparative Analysis of COVID-19, Constraint, and Monkeypox Datasets8 Oct 2025
- 2024Revealing COVID-19's Social Dynamics: Diachronic Semantic Analysis of Vaccine and Symptom Discourse on Twitter10 Oct 2024
- 2024An Iterative Approach to Topic Modelling25 Jul 2024
- 2024Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media18 Jan 2024
- 2023Sentiment Analysis in Digital Spaces: An Overview of Reviews30 Oct 2023
- 2023mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection17 Mar 2023
- 2022How do media talk about the Covid-19 pandemic? Metaphorical thematic clustering in Italian online newspapers5 Apr 2022
- 2021Covid-19 Discourse on Twitter: How the Topics, Sentiments, Subjectivity, and Figurative Frames Changed Over Time16 Mar 2021