The Geometry of Misinformation: Embedding Twitter Networks of Users Who Spread Fake News in Geometrical Opinion Spaces

P. Morales, M. Berriche, Jean-Philippe Cointet
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引用次数: 2

Abstract

To understand why internet users spread fake news online, many studies have focused on individual drivers, such as cognitive skills, media literacy, or demographics. Recent findings have also shown the role of complex socio-political dynamics, highlighting that political polarization and ideologies are closely linked to a propensity to participate in the dissemination of fake news. Most of the existing empirical studies have focused on the US example by exploiting the self-reported or solicited positioning of users on a dichotomous scale opposing liberals with conservatives. Yet, left-right polarization alone is insufficient to study socio-political dynamics when considering non binary and multi-dimensional party systems, in which relevant ideological stances must be characterized in additional dimensions, relating for example to opposition to elites, government, political parties or mainstream media. In this article we leverage ideological embeddings of Twitter networks in France in multi-dimensional opinions spaces, where dimensions stand for attitudes towards different issues, and we trace the positions of users who shared articles that were rated as misinformation by fact-checkers. In multi-dimensional settings, and in contrast with the US, opinion dimensions capturing attitudes towards elites are more predictive of whether a user shares misinformation. Most users sharing misinformation hold salient anti-elite sentiments and, among them, more so those with radical left- and right-leaning stances. Our results reinforce the importance of enriching one-dimensional left-right analyses, showing that other ideological dimensions, such as anti-elite sentiment, are critical when characterizing users who spread fake news. This lends support to emerging accounts of social drivers of misinformation through political polarization, but also stresses the role of the entanglement between fake news, anti-elite polarization, and the role of scientific authorities in public debate.
错误信息的几何:在几何意见空间中嵌入传播假新闻的Twitter用户网络
为了理解为什么互联网用户在网上传播假新闻,许多研究都集中在个人驱动因素上,比如认知技能、媒体素养或人口统计学。最近的研究结果还显示了复杂的社会政治动态的作用,强调政治两极分化和意识形态与参与传播假新闻的倾向密切相关。现有的大多数实证研究都集中在美国的例子上,利用用户在反对自由派和保守派的二分尺度上的自我报告或征求定位。然而,在考虑非二元和多维政党制度时,仅靠左右极化不足以研究社会政治动态,其中相关的意识形态立场必须在其他维度上表征,例如与精英,政府,政党或主流媒体的反对有关。在本文中,我们利用法国Twitter网络在多维意见空间中的意识形态嵌入,其中维度代表对不同问题的态度,我们追踪分享被事实检查员评为错误信息的文章的用户的立场。与美国不同,在多维度环境中,反映对精英态度的意见维度更能预测用户是否分享了错误信息。大多数分享错误信息的用户都持有明显的反精英情绪,其中持激进左翼和右倾立场的人更是如此。我们的研究结果强化了丰富一维左右分析的重要性,表明其他意识形态维度,如反精英情绪,在描述传播假新闻的用户时至关重要。这为通过政治两极分化产生错误信息的社会驱动因素的新说法提供了支持,但也强调了假新闻、反精英两极分化和科学权威在公共辩论中的作用之间的纠缠的作用。
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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