Naama Rivlin-Angert — accepted AI-conference papers

2025

HebID: Detecting Social Identities in Hebrew-language Political Text

Guy Mor-Lan, Naama Rivlin-Angert, Yael R. Kaplan, Tamir Sheafer, Shaul R. Shenhav

EMNLP 2025

Political language is deeply intertwined with social identities. While social identities are often shaped by specific cultural contexts, existing NLP datasets are predominantly English-centric and focus on coarse-grained identity categories. We introduce HebID, the first multilabel Hebrew corpus for

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2025

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

Naama Rivlin-Angert, Guy Mor-Lan

EMNLP 2025

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-language corpus of 10,410 sentences drawn from parliamentary speeches (1993-

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