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arXiv 2507.20528cs.CL

异议对话:社交媒体对话中仇恨与反仇恨言论的主题和修辞维度

Dialogues of Dissent: Thematic and Rhetorical Dimensions of Hate and Counter-Hate Speech in Social Media Conversations

The Hebrew University of Jerusalem(耶路撒冷希伯来大学)

Effi Levi, Gal Ron, Odelia Oshri, Shaul R. Shenhav

AI总结:

提出一种联合标注社交媒体仇恨与反仇恨言论的多标签方案,从主题和修辞维度分析92个对话、720条推文,揭示二者互动模式及反制策略。

摘要:

我们提出了一种新颖的多标签标注方案,用于联合标注社交媒体对话中的仇恨与反仇恨言论,并将仇恨和反仇恨信息划分为主题维度与修辞维度。主题类别概述了每类言论的不同话语方面,而修辞维度则借鉴亚里士多德的 Logos(理性)、Ethos(信誉)和 Pathos(情感),捕捉仇恨与反仇恨信息的传达方式。我们标注了由720条推文组成的92个对话样本,并结合公开指标开展统计分析,以探究仇恨与反仇恨言论内部及彼此之间主题和修辞维度的互动模式。研究结果为理解仇恨信息在社交媒体上的传播、用于反制它们的策略及其对在线行为的潜在影响提供了洞见。

英文摘要:

We introduce a novel multi-labeled scheme for joint annotation of hate and counter-hate speech in social media conversations, categorizing hate and counter-hate messages into thematic and rhetorical dimensions. The thematic categories outline different discursive aspects of each type of speech, while the rhetorical dimension captures how hate and counter messages are communicated, drawing on Aristotle's Logos, Ethos and Pathos. We annotate a sample of 92 conversations, consisting of 720 tweets, and conduct statistical analyses, incorporating public metrics, to explore patterns of interaction between the thematic and rhetorical dimensions within and between hate and counter-hate speech. Our findings provide insights into the spread of hate messages on social media, the strategies used to counter them, and their potential impact on online behavior.

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。

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