Advancing Systems Analysis, International Institute for Applied Systems Analysis, Laxenburg, Austria.
GM Crops Food. 2023 Dec 31;14(1):1-13. doi: 10.1080/21645698.2023.2241160.
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.
本文侧重于分析 Twitter 上与转基因生物 (GMO) 相关的讨论，特别关注错误信息和阴谋论的传播。作者使用 Twitter API 收集并分析了 2020 年 1 月至 2022 年 12 月期间与 GMO 相关的 1048274 条英文推文。这些推文经过主题和情感分析，以确定与 GMO 相关的主流主题和态度。在观察期间，30.92%的推文是负面的，21.65%是中立的，47.43%是积极的。作者确定了与错误信息或阴谋论相关的四类推文：GMO 与疫苗、GMO 与 COVID-19、GMO 与孟山都、GMO 与比尔盖茨。这项分析的结果可以为打击社交媒体上虚假信息和阴谋论的传播提供策略，并提高公众对 GMO 技术的理解和信任。
