A cure worse than the disease? The controversy on Twitter around a fake COVID-19 treatment from France

Nikos Smyrnaios, Panos Tsimpoukis, Charis Papaevangelou
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Abstract

This paper analyzes both the network of actors and the network of the discourses mobilized in the controversy around Professor Didier Raoult and his Hydroxychloroquine-based therapeutic proposal against COVID-19. To confirm our hypothesis, we implement a sophisticated and innovative research method on a corpus of 1.2 million Tweets, which consists of applying a network analysis combined with a lexicometrics analysis. We show that the reaction peaks on Twitter were linked to important media events. Moreover, many groups clustered around the accounts of political figures and media outlets that received numerous mentions. Trump's and Bolsonaro's supporter groups also connected with the French-speaking pro-Raoult groups. The messages of the pro-Raoult combined anti-science conspiracy theories and a critique of the political economy of liberalism and its impasses
比疾病更糟糕的治疗方法?推特上围绕法国假冒COVID-19疗法的争议
本文分析了围绕迪迪埃-拉乌特教授(Didier Raoult)及其针对 COVID-19 的羟氯喹治疗方案所引发的争议中的参与者网络和话语网络。为了证实我们的假设,我们在 120 万条推文的语料库中采用了一种复杂而创新的研究方法,其中包括将网络分析与词汇计量学分析相结合。我们发现,推特上的反应峰值与重要的媒体事件有关。此外,许多群体聚集在被多次提及的政治人物和媒体的账户周围。特朗普和博尔索纳罗的支持者群体也与讲法语的亲劳尔特群体有联系。支持拉乌尔特的信息结合了反科学阴谋论和对自由主义政治经济学及其困境的批判。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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