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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...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Taylor & Francis
2023
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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. |
format | Online Article Text |
id | pubmed-10395250 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Taylor & Francis |
record_format | MEDLINE/PubMed |
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 |
work_keys_str_mv | AT erokhindmitry gmodiscussionontwitter AT komendantovanadejda gmodiscussionontwitter |