COVID-19 and the "Film Your Hospital" Conspiracy Theory: Social Network Analysis of Twitter Data
- PMID: 32936771
- PMCID: PMC7537721
- DOI: 10.2196/22374
COVID-19 and the "Film Your Hospital" Conspiracy Theory: Social Network Analysis of Twitter Data
Abstract
Background: During the COVID-19 pandemic, a number of conspiracy theories have emerged. A popular theory posits that the pandemic is a hoax and suggests that certain hospitals are "empty." Research has shown that accepting conspiracy theories increases the likelihood that an individual may ignore government advice about social distancing and other public health interventions. Due to the possibility of a second wave and future pandemics, it is important to gain an understanding of the drivers of misinformation and strategies to mitigate it.
Objective: This study set out to evaluate the #FilmYourHospital conspiracy theory on Twitter, attempting to understand the drivers behind it. More specifically, the objectives were to determine which online sources of information were used as evidence to support the theory, the ratio of automated to organic accounts in the network, and what lessons can be learned to mitigate the spread of such a conspiracy theory in the future.
Methods: Twitter data related to the #FilmYourHospital hashtag were retrieved and analyzed using social network analysis across a 7-day period from April 13-20, 2020. The data set consisted of 22,785 tweets and 11,333 Twitter users. The Botometer tool was used to identify accounts with a higher probability of being bots.
Results: The most important drivers of the conspiracy theory are ordinary citizens; one of the most influential accounts is a Brexit supporter. We found that YouTube was the information source most linked to by users. The most retweeted post belonged to a verified Twitter user, indicating that the user may have had more influence on the platform. There was a small number of automated accounts (bots) and deleted accounts within the network.
Conclusions: Hashtags using and sharing conspiracy theories can be targeted in an effort to delegitimize content containing misinformation. Social media organizations need to bolster their efforts to label or remove content that contains misinformation. Public health authorities could enlist the assistance of influencers in spreading antinarrative content.
Keywords: COVID-19; Twitter; coronavirus; fake news; misinformation; public health; social media; social network analysis.
©Wasim Ahmed, Francesc López Seguí, Josep Vidal-Alaball, Matthew S Katz. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 05.10.2020.
Conflict of interest statement
Conflicts of Interest: None declared.
Figures
Similar articles
-
COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data.J Med Internet Res. 2020 May 6;22(5):e19458. doi: 10.2196/19458. J Med Internet Res. 2020. PMID: 32352383 Free PMC article.
-
Conversations and Medical News Frames on Twitter: Infodemiological Study on COVID-19 in South Korea.J Med Internet Res. 2020 May 5;22(5):e18897. doi: 10.2196/18897. J Med Internet Res. 2020. PMID: 32325426 Free PMC article.
-
Twitter's Role in Combating the Magnetic Vaccine Conspiracy Theory: Social Network Analysis of Tweets.J Med Internet Res. 2023 Mar 31;25:e43497. doi: 10.2196/43497. J Med Internet Res. 2023. PMID: 36927550 Free PMC article.
-
Summarising data and factors associated with COVID-19 related conspiracy theories in the first year of the pandemic: a systematic review and narrative synthesis.BMC Psychol. 2022 Nov 1;10(1):244. doi: 10.1186/s40359-022-00959-6. BMC Psychol. 2022. PMID: 36320071 Free PMC article.
-
COVID-19 Misinformation on Social Media: A Scoping Review.Cureus. 2022 Apr 29;14(4):e24601. doi: 10.7759/cureus.24601. eCollection 2022 Apr. Cureus. 2022. PMID: 35664409 Free PMC article.
Cited by
-
Health Literacy and Critical Lecture as Key Elements to Detect and Reply to Nutrition Misinformation on Social Media: Analysis between Spanish Healthcare Professionals.Int J Environ Res Public Health. 2022 Dec 20;20(1):23. doi: 10.3390/ijerph20010023. Int J Environ Res Public Health. 2022. PMID: 36612345 Free PMC article.
-
Identification of cohesive subgroups in a university hall of residence during the COVID-19 pandemic using a social network analysis approach.Sci Rep. 2021 Nov 11;11(1):22055. doi: 10.1038/s41598-021-01390-4. Sci Rep. 2021. PMID: 34764333 Free PMC article.
-
[Conspiracy theories and COVID-19: How do conspiracy beliefs arise?].Encephale. 2022 Oct;48(5):571-582. doi: 10.1016/j.encep.2021.12.005. Epub 2022 Feb 7. Encephale. 2022. PMID: 35597682 Free PMC article. French.
-
Plandemic Revisited: A Product of Planned Disinformation Amplifying the COVID-19 "infodemic".Front Public Health. 2021 Jul 14;9:649930. doi: 10.3389/fpubh.2021.649930. eCollection 2021. Front Public Health. 2021. PMID: 34336759 Free PMC article.
-
Mapping automatic social media information disorder. The role of bots and AI in spreading misleading information in society.PLoS One. 2024 May 31;19(5):e0303183. doi: 10.1371/journal.pone.0303183. eCollection 2024. PLoS One. 2024. PMID: 38820281 Free PMC article.
References
-
- Wu F, Zhao S, Yu B, Chen Y, Wang W, Song Z, Hu Y, Tao Z, Tian J, Pei Y, Yuan M, Zhang Y, Dai F, Liu Y, Wang Q, Zheng J, Xu L, Holmes EC, Zhang Y. A new coronavirus associated with human respiratory disease in China. Nature. 2020 Feb 3;579(7798):265–269. doi: 10.1038/s41586-020-2008-3. - DOI - PMC - PubMed
-
- Sohrabi C, Alsafi Z, O'Neill N, Khan M, Kerwan A, Al-Jabir A, Iosifidis C, Agha R. Corrigendum to "World Health Organization declares Global Emergency: A review of the 2019 Novel Coronavirus (COVID-19)" [Int J Surg 76 (2020) 71-76] Int J Surg. 2020 May;77:217. doi: 10.1016/j.ijsu.2020.03.036. http://europepmc.org/abstract/MED/32305321 - DOI - PMC - PubMed
-
- Nicola M, Alsafi Z, Sohrabi C, Kerwan A, Al-Jabir A, Iosifidis C, Agha M, Agha R. The socio-economic implications of the coronavirus pandemic (COVID-19): A review. Int J Surg. 2020 Jun;78:185–193. doi: 10.1016/j.ijsu.2020.04.018. http://europepmc.org/abstract/MED/32305533 - DOI - PMC - PubMed
-
- Ahmed W, Vidal-Alaball J, Downing J, López Seguí F. COVID-19 and the 5G Conspiracy Theory: Social Network Analysis of Twitter Data. J Med Internet Res. 2020 May 06;22(5):e19458. doi: 10.2196/19458. https://www.jmir.org/2020/5/e19458/ - DOI - PMC - PubMed
-
- Salud Sin Bulos. [2020-05-18]. https://saludsinbulos.com/?s=covid.
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous