英国政治中的敌意检测：针对议员的在线辱骂数据集
Hostility Detection in UK Politics: A Dataset on Online Abuse Targeting MPs
AI总结：
针对通用敌意检测模型缺乏英国政治语境特异性的问题，本文构建了含3320条人工标注推文的英国议员在线辱骂数据集，分析其语言与主题特征，并评估预训练及大型语言模型的检测性能，为相关研究提供数据与见解。
摘要：
众多政客使用社交媒体平台（尤其是X）与选民互动。这种互动让选民能够提出问题并提供反馈，但也使政客面临大量敌意回应，尤其是考虑到社交媒体提供的匿名性。他们通常因政府角色成为目标，但评论也往往攻击其个人身份。这会败坏政客声誉，降低公众对政府的信任，还可能煽动愤怒和不尊重，导致线下伤害和暴力。尽管存在许多通用的敌意检测模型，但它们缺乏政治语境所需的特异性。此外，由于每个国家固有的独特语言和问题（如英国的脱欧），应对针对政客的敌意需要量身定制的方法。为填补这一空白，我们构建了一个包含3320条英文推文的数据集，这些推文跨越两年时间，经人工标注以识别针对英国议员的敌意。我们的数据集还捕捉了敌意推文中的目标身份特征（种族、性别、宗教、无）。我们进行了语言和主题分析，以深入研究英国政治数据的独特内容。最后，我们评估了预训练语言模型和大型语言模型在二元敌意检测和多类别目标身份类型分类任务中的性能。我们的研究为未来针对英国特定政治相关敌意的普遍性和性质的研究提供了宝贵的数据和见解。
英文摘要：
Numerous politicians use social media platforms, particularly X, to engage with their constituents. This interaction allows constituents to pose questions and offer feedback but also exposes politicians to a barrage of hostile responses, especially given the anonymity afforded by social media. They are typically targeted in relation to their governmental role, but the comments also tend to attack their personal identity. This can discredit politicians and reduce public trust in the government. It can also incite anger and disrespect, leading to offline harm and violence. While numerous models exist for detecting hostility in general, they lack the specificity required for political contexts. Furthermore, addressing hostility towards politicians demands tailored approaches due to the distinct language and issues inherent to each country (e.g., Brexit for the UK). To bridge this gap, we construct a dataset of 3,320 English tweets spanning a two-year period manually annotated for hostility towards UK MPs. Our dataset also captures the targeted identity characteristics (race, gender, religion, none) in hostile tweets. We perform linguistic and topical analyses to delve into the unique content of the UK political data. Finally, we evaluate the performance of pre-trained language models and large language models on binary hostility detection and multi-class targeted identity type classification tasks. Our study offers valuable data and insights for future research on the prevalence and nature of politics-related hostility specific to the UK.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
