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AI model detects rise in political delegitimization discourse in Israeli speech

By PulseAugur Editorial · [1 sources] ·

Researchers have developed a computational method to analyze political delegitimization discourse (PDD) in Hebrew-language political speech. Their approach combines finetuned encoder models with decoder LLMs, achieving an F1 score of 0.74 for PDD detection. Analysis of Knesset speeches, Facebook posts, and news articles revealed a significant increase in PDD over three decades, with higher prevalence on social media and among right-leaning actors, particularly during election campaigns. AI

IMPACT Demonstrates the potential for AI to analyze and understand complex political discourse, offering insights into democratic health.

RANK_REASON Academic paper presenting a novel computational method for analyzing political discourse. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI model detects rise in political delegitimization discourse in Israeli speech

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Academic paper presenting a novel computational method for analyzing political discourse. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

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

    The Enemy from Within: A Study of Political Delegitimization Discourse in Israeli Political Speech

    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…

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