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(Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort
This paper reports the findings of a 606-participant study analyzing the perception of, and engagement with, COVID-19 vaccine rumors on efficacy and mass immunization effort on Twitter. Misperceptions were successfully induced through simple content alterations and the addition of popular anti-COVID...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Author(s). Published by Elsevier Ltd.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776426/ http://dx.doi.org/10.1016/j.jjimei.2022.100059 |
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author | Sharevski, Filipo Huff, Alice Jachim, Peter Pieroni, Emma |
author_facet | Sharevski, Filipo Huff, Alice Jachim, Peter Pieroni, Emma |
author_sort | Sharevski, Filipo |
collection | PubMed |
description | This paper reports the findings of a 606-participant study analyzing the perception of, and engagement with, COVID-19 vaccine rumors on efficacy and mass immunization effort on Twitter. Misperceptions were successfully induced through simple content alterations and the addition of popular anti-COVID-19 hashtags such as #COVIDIOT and #covidhoax to otherwise valid Twitter content. Twitter's soft moderation warning label helped the majority of our participants to dismiss the rumors about mass immunization. However, for the skeptic, vaccine-hesitant minority, the soft moderation caused a “backfire effect” i.e., make them perceive the rumor as accurate. While the majority of the participants staunchly refrain from engaging with the COVID-19 rumors, the hesitant and skeptic minority was open to comment, retweet, like and share the vaccine efficacy rumors. Based on these findings, we recommend misinformation label designs to prevent the “backfire effect” of COVID-19 vaccine rumors on Twitter. |
format | Online Article Text |
id | pubmed-8776426 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Author(s). Published by Elsevier Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-87764262022-01-21 (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort Sharevski, Filipo Huff, Alice Jachim, Peter Pieroni, Emma International Journal of Information Management Data Insights Article This paper reports the findings of a 606-participant study analyzing the perception of, and engagement with, COVID-19 vaccine rumors on efficacy and mass immunization effort on Twitter. Misperceptions were successfully induced through simple content alterations and the addition of popular anti-COVID-19 hashtags such as #COVIDIOT and #covidhoax to otherwise valid Twitter content. Twitter's soft moderation warning label helped the majority of our participants to dismiss the rumors about mass immunization. However, for the skeptic, vaccine-hesitant minority, the soft moderation caused a “backfire effect” i.e., make them perceive the rumor as accurate. While the majority of the participants staunchly refrain from engaging with the COVID-19 rumors, the hesitant and skeptic minority was open to comment, retweet, like and share the vaccine efficacy rumors. Based on these findings, we recommend misinformation label designs to prevent the “backfire effect” of COVID-19 vaccine rumors on Twitter. The Author(s). Published by Elsevier Ltd. 2022-04 2022-01-21 /pmc/articles/PMC8776426/ http://dx.doi.org/10.1016/j.jjimei.2022.100059 Text en © 2022 The Author(s) Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active. |
spellingShingle | Article Sharevski, Filipo Huff, Alice Jachim, Peter Pieroni, Emma (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort |
title | (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort |
title_full | (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort |
title_fullStr | (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort |
title_full_unstemmed | (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort |
title_short | (Mis)perceptions and engagement on Twitter: COVID-19 vaccine rumors on efficacy and mass immunization effort |
title_sort | (mis)perceptions and engagement on twitter: covid-19 vaccine rumors on efficacy and mass immunization effort |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8776426/ http://dx.doi.org/10.1016/j.jjimei.2022.100059 |
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