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English(EN) The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech

AI模型检测到以色列言论中政治去合法化话语的兴起

研究人员开发了一种计算方法来分析希伯来语政治言论中的政治去合法化话语(PDD)。他们的方法结合了微调的编码器模型和解码器LLM,在PDD检测方面达到了0.74的F1分数。对议会演讲、Facebook帖子和新闻文章的分析显示,在过去三十年中,PDD显著增加,在社交媒体和倾向右翼的言论者中更为普遍,尤其是在竞选期间。 AI

影响 展示了AI分析和理解复杂政治话语的潜力,为民主健康提供了见解。

排序理由 学术论文,提出了一种分析政治话语的新型计算方法。[lever_c_demoted from research: ic=1 ai=1.0]

在 arXiv cs.CL 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

AI模型检测到以色列言论中政治去合法化话语的兴起

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学术论文,提出了一种分析政治话语的新型计算方法。[lever_c_demoted from research: ic=1 ai=1.0]
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Topics
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报道来源 [1]

  1. arXiv cs.CL TIER_1 English(EN) · Naama Rivlin-Angert, Guy Mor-Lan ·

    内部的敌人:以色列政治言论中政治合法性剥夺话语研究

    arXiv:2508.15524v3 Announce Type: replace Abstract: We present the first large-scale computational study of political delegitimization discourse (PDD), defined as symbolic attacks on the normative validity of political entities. We curate and manually annotate a novel Hebrew-lang…