Political Framing: US COVID19 Blame Game
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Abstract (arXiv)
Through the use of Twitter, framing has become a prominent presidential campaign tool for politically active users. Framing is used to influence thoughts by evoking a particular perspective on an event. In this paper, we show that the COVID19 pandemic rather than being viewed as a public health issue, political rhetoric surrounding it is mostly shaped through a blame frame (blame Trump, China, or conspiracies) and a support frame (support candidates) backing the agenda of Republican and Democratic users in the lead up to the 2020 presidential campaign. We elucidate the divergences between supporters of both parties on Twitter via the use of frames. Additionally, we show how framing is used to positively or negatively reinforce users' thoughts. We look at how Twitter can efficiently be used to identify frames for topics through a reproducible pipeline.
Key facts. Cited by 8 papers in the map (data through 7 Oct 2026). First posted on arXiv 19 Jul 2020.
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Citing papers per year: 2021: 3; 2022: 1; 2023: 1; 2024: 2; 2025: 0; 2026: 1.
8 papers.
- 2021A Survey on Stance Detection for Mis- and Disinformation Identificationcited by 75
- 2022Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervisioncited by 9
- 2021Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twittercited by 7
- 2021Event-driven timeseries analysis and the comparison of public reactions on COVID-19cited by 1
- 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
- 2024MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identificationcited by 0
- 2026Building Arabic NLP from the Ground Up: Twenty Years of Lessons, Failures, and Open Problemscited by 0
- 2026Building Arabic NLP from the Ground Up: Twenty Years of Lessons, Failures, and Open Problems20 May 2026
- 2024MemeMind at ArAIEval Shared Task: Spotting Persuasive Spans in Arabic Text with Persuasion Techniques Identification8 Aug 2024
- 2024Framing Analysis of Health-Related Narratives: Conspiracy versus Mainstream Media18 Jan 2024
- 2023mCPT at SemEval-2023 Task 3: Multilingual Label-Aware Contrastive Pre-Training of Transformers for Few- and Zero-shot Framing Detection17 Mar 2023
- 2022Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision18 Oct 2022
- 2021Event-driven timeseries analysis and the comparison of public reactions on COVID-1930 Apr 2021
- 2021Characterizing Partisan Political Narrative Frameworks about COVID-19 on Twitter11 Mar 2021
- 2021A Survey on Stance Detection for Mis- and Disinformation Identification27 Feb 2021