Hate Speech in Political Discourse: A Case Study of UK MPs on Twitter

Pushkal Agarwal, O. Hawkins, Margarita Amaxopoulou, Noel Dempsey, Nishanth R. Sastry, E. Wood
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引用次数: 10

Abstract

Online presence is becoming unavoidable for politicians worldwide. In countries such as the UK, Twitter has become the platform of choice, with over 85% (553 of 650) of the Members of Parliament (MPs) having an active online presence. Whereas this has allowed ordinary citizens unprecedented and immediate access to their elected representatives, it has also led to serious concerns about online hate towards MPs. This work attempts to shed light on the problem using a dataset of conversations between MPs and non-MPs over a two month period. Deviating from other approaches in the literature, our data captures entire threads of conversations between Twitter handles of MPs and citizens in order to provide a full context for content that may be flagged as 'hate'. By combining widely-used hate speech detection tools trained on several widely available datasets, we analyse 2.5 million tweets to identify hate speech against MPs and we characterise hate across multiple dimensions of time, topics and MPs' demographics. We find that MPs are subject to intense 'pile on' hate by citizens whereby they get more hate when they are already busy with a high volume of mentions regarding some event or situation. We also show that hate is more dense with regard to certain topics and that MPs who have an ethnic minority background and those holding positions in Government receive more hate than other MPs. We find evidence of citizens expressing negative sentiments while engaging in cross-party conversations, with supporters of one party (e.g. Labour) directing hate against MPs of another party (e.g. Conservative).
政治话语中的仇恨言论:以推特上的英国议员为例
对于世界各地的政治家来说,网络正变得不可避免。在英国等国家,Twitter已成为首选的社交平台,超过85%(650人中有553人)的国会议员(MPs)在网上活跃。尽管这让普通公民能够前所未有地、迅速地接触到他们选出的代表,但它也引发了对网络上对议员的仇恨的严重担忧。这项工作试图利用国会议员和非国会议员在两个月期间的对话数据集来阐明这个问题。与文献中的其他方法不同,我们的数据捕捉了议员和公民的推特账号之间的整个对话线索,以便为可能被标记为“仇恨”的内容提供完整的背景。通过结合在几个广泛可用的数据集上训练的广泛使用的仇恨言论检测工具,我们分析了250万条推文,以识别针对国会议员的仇恨言论,并在时间、话题和国会议员的人口统计数据等多个维度上描述仇恨。我们发现,议员们受到了公民强烈的“堆积”仇恨,当他们忙于大量提及某些事件或情况时,他们会受到更多的仇恨。我们还表明,在某些话题上,仇恨更加密集,具有少数民族背景的议员和在政府中担任职务的议员比其他议员受到更多的仇恨。我们发现有证据表明,公民在参与跨党派对话时表达负面情绪,一个政党(如工党)的支持者将仇恨指向另一个政党(如保守党)的议员。
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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