GMO discussion on Twitter
ABSTRACTThis 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 Decembe...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Taylor & Francis Group
2023-12-01
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| Series: | GM Crops & Food |
| Subjects: | |
| Online Access: | https://www.tandfonline.com/doi/10.1080/21645698.2023.2241160 |
| _version_ | 1797376456820523008 |
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| author | Dmitry Erokhin Nadejda Komendantova |
| author_facet | Dmitry Erokhin Nadejda Komendantova |
| author_sort | Dmitry Erokhin |
| collection | DOAJ |
| description | ABSTRACTThis 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. |
| first_indexed | 2024-03-08T19:39:54Z |
| format | Article |
| id | doaj.art-ec40ae0c01674f43a503d310eafb68cd |
| institution | Directory Open Access Journal |
| issn | 2164-5698 2164-5701 |
| language | English |
| last_indexed | 2024-03-08T19:39:54Z |
| publishDate | 2023-12-01 |
| publisher | Taylor & Francis Group |
| record_format | Article |
| series | GM Crops & Food |
| spelling | doaj.art-ec40ae0c01674f43a503d310eafb68cd2023-12-25T13:28:18ZengTaylor & Francis GroupGM Crops & Food2164-56982164-57012023-12-0114111310.1080/21645698.2023.2241160GMO discussion on TwitterDmitry Erokhin0Nadejda Komendantova1Advancing Systems Analysis, International Institute for Applied Systems Analysis, Laxenburg, AustriaAdvancing Systems Analysis, International Institute for Applied Systems Analysis, Laxenburg, AustriaABSTRACTThis 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.https://www.tandfonline.com/doi/10.1080/21645698.2023.2241160ConspiracyGMOmisinformationsentiment analysisTwitter |
| spellingShingle | Dmitry Erokhin Nadejda Komendantova GMO discussion on Twitter GM Crops & Food Conspiracy GMO misinformation sentiment analysis |
| 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 | Conspiracy GMO misinformation sentiment analysis |
| url | https://www.tandfonline.com/doi/10.1080/21645698.2023.2241160 |
| work_keys_str_mv | AT dmitryerokhin gmodiscussionontwitter AT nadejdakomendantova gmodiscussionontwitter |