Cargando…

COVID-19 Conspiracy Theories Discussion on Twitter

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 anal...

Descripción completa

Detalles Bibliográficos
Autores principales: Erokhin, Dmitry, Yosipof, Abraham, Komendantova, Nadejda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: SAGE Publications 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551662/
https://www.ncbi.nlm.nih.gov/pubmed/36245701
http://dx.doi.org/10.1177/20563051221126051
_version_ 1784806154982916096
author Erokhin, Dmitry
Yosipof, Abraham
Komendantova, Nadejda
author_facet Erokhin, Dmitry
Yosipof, Abraham
Komendantova, Nadejda
author_sort Erokhin, Dmitry
collection PubMed
description 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.
format Online
Article
Text
id pubmed-9551662
institution National Center for Biotechnology Information
language English
publishDate 2022
publisher SAGE Publications
record_format MEDLINE/PubMed
spelling pubmed-95516622022-10-12 COVID-19 Conspiracy Theories Discussion on Twitter Erokhin, Dmitry Yosipof, Abraham Komendantova, Nadejda Soc Media Soc Article 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. SAGE Publications 2022-10-10 /pmc/articles/PMC9551662/ /pubmed/36245701 http://dx.doi.org/10.1177/20563051221126051 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution 4.0 License (https://creativecommons.org/licenses/by/4.0/) which permits any use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage).
spellingShingle Article
Erokhin, Dmitry
Yosipof, Abraham
Komendantova, Nadejda
COVID-19 Conspiracy Theories Discussion on Twitter
title COVID-19 Conspiracy Theories Discussion on Twitter
title_full COVID-19 Conspiracy Theories Discussion on Twitter
title_fullStr COVID-19 Conspiracy Theories Discussion on Twitter
title_full_unstemmed COVID-19 Conspiracy Theories Discussion on Twitter
title_short COVID-19 Conspiracy Theories Discussion on Twitter
title_sort covid-19 conspiracy theories discussion on twitter
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9551662/
https://www.ncbi.nlm.nih.gov/pubmed/36245701
http://dx.doi.org/10.1177/20563051221126051
work_keys_str_mv AT erokhindmitry covid19conspiracytheoriesdiscussionontwitter
AT yosipofabraham covid19conspiracytheoriesdiscussionontwitter
AT komendantovanadejda covid19conspiracytheoriesdiscussionontwitter