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Witold Sosnowski

3 accepted papers

2025

DiNaM: Disinformation Narrative Mining with Large Language Models

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

2025

PCoT: Persuasion-Augmented Chain of Thought for Detecting Fake News and Social Media Disinformation

ACL 2025long

Disinformation detection is a key aspect of media literacy. Psychological studies have shown that knowledge of persuasive fallacies helps individuals detect disinformation. Inspired by these findings, we experimented with large language models (LLMs) to test whether infusing persuasion knowledge enh…

2024

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

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…