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Erokhin, D. & Komendantova, N. 
ORCID: https://orcid.org/0000-0003-2568-6179
(2023).
GMO discussion on Twitter.
GM Crops & Food 14 (1) 1-13. 10.1080/21645698.2023.2241160.
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Abstract
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Conspiracy, GMO, misinformation, sentiment analysis, Twitter |
| Research Programs: | Advancing Systems Analysis (ASA) Advancing Systems Analysis (ASA) > Cooperation and Transformative Governance (CAT) |
| Depositing User: | Luke Kirwan |
| Date Deposited: | 01 Aug 2023 12:09 |
| Last Modified: | 01 Aug 2023 12:09 |
| URI: | https://pure.iiasa.ac.at/18941 |
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