分解仇恨言论:研究社交媒体中仇恨言论的新注释框架

Gal Ron, Effi Levi, Odelia Oshri, Shaul R. Shenhav
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引用次数: 0

摘要

在这项工作中,我们提出了一种新的注释方案,该方案将仇恨言论分为五个独立的话语类别。为了评估我们的方案,我们构建了一个包含290多万条Twitter帖子的语料库,其中包含针对犹太人的仇恨表达,并注释了1050条推文的样本数据集。我们对注释数据集进行了统计分析,并讨论了注释示例,最后讨论了未来工作的有希望的方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Factoring Hate Speech: A New Annotation Framework to Study Hate Speech in Social Media
In this work we propose a novel annotation scheme which factors hate speech into five separate discursive categories. To evaluate our scheme, we construct a corpus of over 2.9M Twitter posts containing hateful expressions directed at Jews, and annotate a sample dataset of 1,050 tweets. We present a statistical analysis of the annotated dataset as well as discuss annotation examples, and conclude by discussing promising directions for future work.
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