论文标题

极右翼两极分化的Twitter如何:“高劫机”主题标签在Covid-19

How the Far-Right Polarises Twitter: 'Highjacking' Hashtags in Times of COVID-19

论文作者

Darius, Philipp, Stephany, Fabian

论文摘要

Twitter影响政治辩论。诸如假新闻和仇恨言论之类的现象表明,关于微博的政治话语可以通过算法执行选择性感知来强烈两极化。如上所述,一些政治参与者通过“劫持”策略积极采用策略来促进Twitter上的两极分化。以COVID-19相关的主题标签及其转发网络的示例,我们研究了党派对德国极右翼政党替代方案的案例案例,及其2020年5月的“施加式”的潜在使用。我们的发现表明,在过去的两年中,政党哈希塔的两极分化并没有发生很大变化。我们看到,右翼游击党通过“ hashjacking” Covid-19相关的主题标签(例如#CoronaviRusde或#flattenthecurve)积极而有效地使话语两极化。这种两极分化策略由有限的重型用户的活动主导。结果强调了只有少数非常活跃的叙述,就必须理解话语两极分化的动态,这是极右翼的积极政治交流策略。

Twitter influences political debates. Phenomena like fake news and hate speech show that political discourse on micro-blogging can become strongly polarised by algorithmic enforcement of selective perception. Some political actors actively employ strategies to facilitate polarisation on Twitter, as past contributions show, via strategies of 'hashjacking'. For the example of COVID-19 related hashtags and their retweet networks, we examine the case of partisan accounts of the German far-right party Alternative für Deutschland (AfD) and their potential use of 'hashjacking' in May 2020. Our findings indicate that polarisation of political party hashtags has not changed significantly in the last two years. We see that right-wing partisans are actively and effectively polarising the discourse by 'hashjacking' COVID-19 related hashtags, like #CoronaVirusDE or #FlattenTheCurve. This polarisation strategy is dominated by the activity of a limited set of heavy users. The results underline the necessity to understand the dynamics of discourse polarisation, as an active political communication strategy of the far-right, by only a handful of very active accounts.

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