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GMO discussion on Twitter

This paper focuses on analyzing discussions related to Genetically Modified Organisms (GMOs) on Twitter, with a specific focus on the spread of misinformation and conspiracy theories. The authors collected and analyzed 1,048,274 English tweets related to GMOs between January 2020 and December 2022 u...

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Detalles Bibliográficos
Autores principales: Erokhin, Dmitry, Komendantova, Nadejda
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395250/
https://www.ncbi.nlm.nih.gov/pubmed/37526069
http://dx.doi.org/10.1080/21645698.2023.2241160
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author Erokhin, Dmitry
Komendantova, Nadejda
author_facet Erokhin, Dmitry
Komendantova, Nadejda
author_sort Erokhin, Dmitry
collection PubMed
description This paper focuses on analyzing discussions related to Genetically Modified Organisms (GMOs) on Twitter, with a specific focus on the spread of misinformation and conspiracy theories. The authors collected and analyzed 1,048,274 English tweets related to GMOs between January 2020 and December 2022 using the Twitter API. The tweets were subjected to topical and sentiment analysis to identify the prevalent themes and attitudes toward GMOs. 30.92% of the tweets in the observed period were negative, 21.65% were neutral, and 47.43% were positive. The authors identified four clusters of tweets associated with misinformation or conspiracy theories: GMOs and vaccines, GMOs and COVID-19, GMOs and Monsanto, and GMOs and Bill Gates. The findings of this analysis can inform strategies for combating the spread of false information and conspiracies on social media and improve public understanding and trust in GMO technology.
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spelling pubmed-103952502023-08-03 GMO discussion on Twitter Erokhin, Dmitry Komendantova, Nadejda GM Crops Food Research Article This paper focuses on analyzing discussions related to Genetically Modified Organisms (GMOs) on Twitter, with a specific focus on the spread of misinformation and conspiracy theories. The authors collected and analyzed 1,048,274 English tweets related to GMOs between January 2020 and December 2022 using the Twitter API. The tweets were subjected to topical and sentiment analysis to identify the prevalent themes and attitudes toward GMOs. 30.92% of the tweets in the observed period were negative, 21.65% were neutral, and 47.43% were positive. The authors identified four clusters of tweets associated with misinformation or conspiracy theories: GMOs and vaccines, GMOs and COVID-19, GMOs and Monsanto, and GMOs and Bill Gates. The findings of this analysis can inform strategies for combating the spread of false information and conspiracies on social media and improve public understanding and trust in GMO technology. Taylor & Francis 2023-08-01 /pmc/articles/PMC10395250/ /pubmed/37526069 http://dx.doi.org/10.1080/21645698.2023.2241160 Text en © 2023 The Author(s). Published with license by Taylor & Francis Group, LLC. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. The terms on which this article has been published allow the posting of the Accepted Manuscript in a repository by the author(s) or with their consent.
spellingShingle Research Article
Erokhin, Dmitry
Komendantova, Nadejda
GMO discussion on Twitter
title GMO discussion on Twitter
title_full GMO discussion on Twitter
title_fullStr GMO discussion on Twitter
title_full_unstemmed GMO discussion on Twitter
title_short GMO discussion on Twitter
title_sort gmo discussion on twitter
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10395250/
https://www.ncbi.nlm.nih.gov/pubmed/37526069
http://dx.doi.org/10.1080/21645698.2023.2241160
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