mlsanityData to 7 Oct 2026

A Second Pandemic? Analysis of Fake News About COVID-19 Vaccines in Qatar

arXiv 2109.11372 ↗First posted 22 Sep 2021cs.CL cs.SIcited by 5

Not on the map. Why?

Abstract (arXiv)

While COVID-19 vaccines are finally becoming widely available, a second pandemic that revolves around the circulation of anti-vaxxer fake news may hinder efforts to recover from the first one. With this in mind, we performed an extensive analysis of Arabic and English tweets about COVID-19 vaccines, with focus on messages originating from Qatar. We found that Arabic tweets contain a lot of false information and rumors, while English tweets are mostly factual. However, English tweets are much more propagandistic than Arabic ones. In terms of propaganda techniques, about half of the Arabic tweets express doubt, and 1/5 use loaded language, while English tweets are abundant in loaded language, exaggeration, fear, name-calling, doubt, and flag-waving. Finally, in terms of framing, Arabic tweets adopt a health and safety perspective, while in English economic concerns dominate.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 39 of its 73 references that are in the map. First posted on arXiv 22 Sep 2021.

Builds on

39 of 73 references.

References · 39

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27 more
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Built on by

Cited by year (2026 to 7 Oct)

Citing papers per year: 2022: 2; 2023: 1; 2024: 1; 2025: 0; 2026: 1.

5 papers.

  1. 2024Claim Detection for Automated Fact-checking: A Survey on Monolingual, Multilingual and Cross-Lingual Researchcited by 35
  2. 2022Overview of the WANLP 2022 Shared Task on Propaganda Detection in Arabiccited by 18
  3. 2023Toxic language detection: a systematic review of Arabic datasetscited by 3
  4. 2022QCRI's COVID-19 Disinformation Detector: A System to Fight the COVID-19 Infodemic in Social Mediacited by 2
  5. 2026Structuring the Space of Perspectivescited by 1