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Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak
The present study investigates the characteristics of discussion of conspiracy theories about the Zika virus outbreak of 2015–16 on Twitter. Content and social network analysis of a dataset of 25,162 original Tweets about Zika virus conspiracy theories showed that relative to debunking messages, con...
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Mary Ann Liebert, Inc.
2018
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094351/ https://www.ncbi.nlm.nih.gov/pubmed/30020821 http://dx.doi.org/10.1089/cyber.2017.0669 |
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author | Wood, Michael J. |
author_facet | Wood, Michael J. |
author_sort | Wood, Michael J. |
collection | PubMed |
description | The present study investigates the characteristics of discussion of conspiracy theories about the Zika virus outbreak of 2015–16 on Twitter. Content and social network analysis of a dataset of 25,162 original Tweets about Zika virus conspiracy theories showed that relative to debunking messages, conspiracy theories spread through a more decentralized network, are more likely to invoke supposedly knowledgeable authorities in making arguments, and ask more rhetorical questions. These trends can be understood in the context of previous work on conspiracy theories, including the “just asking questions” style of rhetoric, the importance of sourcing and authority, and the tendency to simultaneously consider many different potential conspiracies that might underlie an important topic or event. |
format | Online Article Text |
id | pubmed-6094351 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | Mary Ann Liebert, Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-60943512018-08-16 Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak Wood, Michael J. Cyberpsychol Behav Soc Netw Original Articles The present study investigates the characteristics of discussion of conspiracy theories about the Zika virus outbreak of 2015–16 on Twitter. Content and social network analysis of a dataset of 25,162 original Tweets about Zika virus conspiracy theories showed that relative to debunking messages, conspiracy theories spread through a more decentralized network, are more likely to invoke supposedly knowledgeable authorities in making arguments, and ask more rhetorical questions. These trends can be understood in the context of previous work on conspiracy theories, including the “just asking questions” style of rhetoric, the importance of sourcing and authority, and the tendency to simultaneously consider many different potential conspiracies that might underlie an important topic or event. Mary Ann Liebert, Inc. 2018-08-01 2018-08-01 /pmc/articles/PMC6094351/ /pubmed/30020821 http://dx.doi.org/10.1089/cyber.2017.0669 Text en © Michael J. Wood 2018; Published by Mary Ann Liebert, Inc. This Open Access article is distributed under the terms of the Creative Commons Attribution Noncommercial License (http://creativecommons.org/licenses/by-nc/4.0/) which permits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and the source are cited. |
spellingShingle | Original Articles Wood, Michael J. Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak |
title | Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak |
title_full | Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak |
title_fullStr | Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak |
title_full_unstemmed | Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak |
title_short | Propagating and Debunking Conspiracy Theories on Twitter During the 2015–2016 Zika Virus Outbreak |
title_sort | propagating and debunking conspiracy theories on twitter during the 2015–2016 zika virus outbreak |
topic | Original Articles |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6094351/ https://www.ncbi.nlm.nih.gov/pubmed/30020821 http://dx.doi.org/10.1089/cyber.2017.0669 |
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