» Articles » PMID: 36245701

COVID-19 Conspiracy Theories Discussion on Twitter

Overview
Journal Soc Media Soc
Date 2022 Oct 17
PMID 36245701
Authors
Affiliations
Soon will be listed here.
Abstract

The coronavirus disease 2019 (COVID-19) pandemic was an unexpected event and resulted in catastrophic consequences with long-lasting behavioral effects. People began to seek explanations for different aspects of COVID-19 and resorted to conspiracy narratives. The objective of this article is to analyze the changes on the discussion of different COVID-19 conspiracy theories throughout the pandemic on Twitter. We have collected a data set of 1.269 million tweets associated with the discussion on conspiracy theories between January 2020 and November 2021. The data set includes tweets related to eight conspiracy theories: the 5G, Big Pharma, Bill Gates, biological weapon, exaggeration, FilmYourHospital, genetically modified organism (GMO), and the vaccines conspiracy. The analysis highlights several behaviors in the discussion of conspiracy theories and allows categorizing them into four groups. The first group are conspiracy theories that peaked at the beginning of the pandemic and sharply declined afterwards, including the 5G and FilmYourHospital conspiracies. The second group associated with the Big Pharma and vaccination-related conspiracy whose role increased as the pandemic progressed. The third are conspiracies that remained persistent throughout the pandemic such as exaggeration and Bill Gates conspiracies. The fourth are those that had multiple peaks at different times of the pandemic including the GMO and biological weapon conspiracies. In addition, the number of COVID-19 new cases was found to be a significant predictor for the next week tweet frequency for most of the conspiracies.

Citing Articles

A role for qualitative methods in researching Twitter data on a popular science article's communication.

Noakes T, Uys C, Harpur P, van Zyl I Front Res Metr Anal. 2025; 9():1431298.

PMID: 39839196 PMC: 11747522. DOI: 10.3389/frma.2024.1431298.


Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding.

Haupt M, Chiu M, Chang J, Li Z, Cuomo R, Mackey T PLoS One. 2023; 18(12):e0295414.

PMID: 38117843 PMC: 10732406. DOI: 10.1371/journal.pone.0295414.


Dynamics and characteristics of misinformation related to earthquake predictions on Twitter.

Dallo I, Elroy O, Fallou L, Komendantova N, Yosipof A Sci Rep. 2023; 13(1):13391.

PMID: 37592002 PMC: 10435459. DOI: 10.1038/s41598-023-40399-9.


GMO discussion on Twitter.

Erokhin D, Komendantova N GM Crops Food. 2023; 14(1):1-13.

PMID: 37526069 PMC: 10395250. DOI: 10.1080/21645698.2023.2241160.


From Conspiracy to Hesitancy: The Longitudinal Impact of COVID-19 Vaccine Conspiracy Theories on Perceived Vaccine Effectiveness.

Salazar-Fernandez C, Baeza-Rivera M, Manriquez-Robles D, Salinas-Onate N, Sallam M Vaccines (Basel). 2023; 11(7).

PMID: 37514966 PMC: 10386435. DOI: 10.3390/vaccines11071150.


References
1.
Nie J . In the Shadow of Biological Warfare: Conspiracy Theories on the Origins of COVID-19 and Enhancing Global Governance of Biosafety as a Matter of Urgency. J Bioeth Inq. 2020; 17(4):567-574. PMC: 7445685. DOI: 10.1007/s11673-020-10025-8. View

2.
Rosiello D, Anwar S, Yufika A, Adam R, Ismaeil M, Ismail A . Acceptance of COVID-19 vaccination at different hypothetical efficacy and safety levels in ten countries in Asia, Africa, and South America. Narra J. 2024; 1(3):e55. PMC: 10914086. DOI: 10.52225/narra.v1i3.55. View

3.
Fahriani M, Ilmawan M, Fajar J, Maliga H, Frediansyah A, Masyeni S . Persistence of long COVID symptoms in COVID-19 survivors worldwide and its potential pathogenesis - A systematic review and meta-analysis. Narra J. 2024; 1(2):e36. PMC: 10914031. DOI: 10.52225/narraj.v1i2.36. View

4.
Li Y, Twersky S, Ignace K, Zhao M, Purandare R, Bennett-Jones B . Constructing and Communicating COVID-19 Stigma on Twitter: A Content Analysis of Tweets during the Early Stage of the COVID-19 Outbreak. Int J Environ Res Public Health. 2020; 17(18). PMC: 7557581. DOI: 10.3390/ijerph17186847. View

5.
Gerts D, Shelley C, Parikh N, Pitts T, Ross C, Fairchild G . "Thought I'd Share First" and Other Conspiracy Theory Tweets from the COVID-19 Infodemic: Exploratory Study. JMIR Public Health Surveill. 2021; 7(4):e26527. PMC: 8048710. DOI: 10.2196/26527. View