Kinga Skorupska — accepted AI-conference papers

2025

DiNaM: Disinformation Narrative Mining with Large Language Models

Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska, Adam Wierzbicki

EMNLP 2025

Disinformation poses a significant threat to democratic societies, public health, and national security. To address this challenge, fact-checking experts analyze and track disinformation narratives. However, the process of manually identifying these narratives is highly time-consuming and resource-i

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2024

EU DisinfoTest: a Benchmark for Evaluating Language Models’ Ability to Detect Disinformation Narratives

Witold Sosnowski, Arkadiusz Modzelewski, Kinga Skorupska, Jahna Otterbacher, Adam Wierzbicki

EMNLP 2024finding

As narratives shape public opinion and influence societal actions, distinguishing between truthful and misleading narratives has become a significant challenge. To address this, we introduce the EU DisinfoTest, a novel benchmark designed to evaluate the efficacy of Language Models in identifying dis…

Cited by 7 Source ↗PDF ↗code ↗Scholar ↗