Max Planck Institute for Mathematics in the Sciences, Leipzig, Germany.
PLoS One. 2021 Mar 25;16(3):e0249241. doi: 10.1371/journal.pone.0249241. eCollection 2021.
This article analyses public debate on Twitter via network representations of retweets and replies. We argue that tweets observable on Twitter have both a direct and mediated effect on the perception of public opinion. Through the interplay of the two networks, it is possible to identify potentially misleading representations of public opinion on the platform. The method is employed to observe public debate about two events: The Saxon state elections and violent riots in the city of Leipzig in 2019. We show that in both cases, (i) different opinion groups exhibit different propensities to get involved in debate, and therefore have unequal impact on public opinion. Users retweeting far-right parties and politicians are significantly more active, hence their positions are disproportionately visible. (ii) Said users act significantly more confrontational in the sense that they reply mostly to users from different groups, while the contrary is not the case.
本文通过对转发和回复的网络表示来分析 Twitter 上的公共辩论。我们认为,Twitter 上可观察到的推文对舆论的看法既有直接影响,也有间接影响。通过这两个网络的相互作用,可以识别出平台上可能存在误导性的舆论表示。该方法用于观察关于两个事件的公共辩论:萨克森州选举和 2019 年莱比锡市的暴力骚乱。我们表明,在这两种情况下,(i)不同的意见群体表现出不同的参与辩论的倾向,因此对舆论的影响也不平等。转发极右翼政党和政治家的用户活跃度明显更高,因此他们的观点更加显眼。(ii)这些用户表现出明显的对抗性,因为他们主要回复来自不同群体的用户,而反之则不然。