通过社会时间上下文挖掘网络反女性社群的群体语言词库，揭示其动态演化特征。
Inducing lexicons of in-group language with socio-temporal context
- 结合用户与词语的动态嵌入，捕捉群体语言随时间和社交结构的变化
- 在自建测试集上超越现有方法，构建经专家验证的男性圈语言词库
- 适合研究网络亚文化、社会极化或语言演化的人群使用
群体语言是群体动态的重要标志。本文提出一种新方法，通过融入社会时间上下文来诱导群体语言词库。现有词库诱导方法无法捕捉群体语言的演变特性及社区的社会结构。我们基于在线反女性社群的对话数据，训练动态词向量与用户嵌入，所提方法在词库诱导任务中优于先前方法。我们构建了一个新的测试集和男性圈语言词库，经人类专家验证，可量化特定时间点各术语对子社群的相关性。最后，我们获得了关于群体语言的新见解，展示了该方法的实际价值。
原文摘要 · Abstract (English)
In-group language is an important signifier of group dynamics. This paper proposes a novel method for inducing lexicons of in-group language, which incorporates its socio-temporal context. Existing methods for lexicon induction do not capture the evolving nature of in-group language, nor the social structure of the community. Using dynamic word and user embeddings trained on conversations from online anti-women communities, our approach outperforms prior methods for lexicon induction. We develop a test set for the task of lexicon induction and a new lexicon of manosphere language, validated by human experts, which quantifies the relevance of each term to a specific sub-community at a given point in time. Finally, we present novel insights on in-group language which illustrate the utility of this approach.
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