ProvocationProbe：源自 Twitter 的煽动性仇恨言论数据集
ProvocationProbe: Instigating Hate Speech Dataset from Twitter
AI总结：
本文构建 ProvocationProbe 数据集，基于 Twitter 约两万条涉九起全球争议的推文，标注并刻画煽动性仇恨言论区别于一般仇恨言论的特征。
摘要：
近年来，在线社交媒体平台充斥着种族主义、性别歧视、恐同等仇恨言论。因此，各类社交媒体平台采取了许多措施，以缓解仇恨言论在互联网上的传播。仇恨言论领域中的一个特定概念是煽动仇恨，即挑动针对特定社群、种族、肤色、性别、宗教或族裔的仇恨。在本工作中，我们介绍了 ProvocationProbe——一个旨在探究煽动性仇恨言论与一般仇恨言论有何区别的数据集。为开展本研究，我们从 Twitter 收集了约两万条推文，涵盖总共九起全球性争议事件。这些争议跨越种族主义、政治和宗教等多种主题。在本文中，i）我们在对所有争议事件进行全面审查后，提出了一个带标注的数据集；ii）我们还通过识别针对性身份攻击和仇恨理由等区分性特征，强调了仇恨言论与煽动性仇恨言论之间的差异。
英文摘要：
In the recent years online social media platforms has been flooded with hateful remarks such as racism, sexism, homophobia etc. As a result, there have been many measures taken by various social media platforms to mitigate the spread of hate-speech over the internet. One particular concept within the domain of hate speech is instigating hate, which involves provoking hatred against a particular community, race, colour, gender, religion or ethnicity. In this work, we introduce \textit{ProvocationProbe} - a dataset designed to explore what distinguishes instigating hate speech from general hate speech. For this study, we collected around twenty thousand tweets from Twitter, encompassing a total of nine global controversies. These controversies span various themes including racism, politics, and religion. In this paper, i) we present an annotated dataset after comprehensive examination of all the controversies, ii) we also highlight the difference between hate speech and instigating hate speech by identifying distinguishing features, such as targeted identity attacks and reasons for hate.
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。
