activity
20242026
collaborators

13 papers

cs.CV2026

MigrationNarrate: A Dataset for Detection of Migration Narratives in YouTube Videos

Fatima Haouari, Carolina Scarton, Kalina Bontcheva

Narratives are central to how social communication is framed, making their detection critical for understanding and analysing public discourse. Prior work has explored narrative de…

cs.CL2026

A Browser-based Open Source Assistant for Multimodal Content Verification

Rosanna Milner, Michael Foster, Twin Karmakharm +5

Disinformation and false content produced by generative AI pose a significant challenge for journalists and fact-checkers who must rapidly verify digital media information. While t…

cs.CL2026

Truth with a Twist: The Rhetoric of Persuasion in Professional vs. Community-Authored Fact-Checks

Olesya Razuvayevskaya, Kalina Bontcheva

This study presents the first large-scale comparison of persuasion techniques present in crowd- versus professionally-written debunks. Using extensive datasets from Community Notes…

cs.CL2026

LLM-Based Adversarial Persuasion Attacks on Fact-Checking Systems

João A. Leite, João A. Leite, Olesya Razuvayevskaya +2

Automated fact-checking (AFC) systems are susceptible to adversarial attacks, enabling false claims to evade detection. Existing adversarial frameworks typically rely on injecting…

cs.CL2025

Tailored untruths: How personalisation challenges LLM safeguards

João A. Leite, Arnav Arora, Silvia Gargova +5

Large Language Models (LLMs) can generate highly persuasive disinformation, yet little is known about how effectively they personalise it across languages and demographic groups. W…

cs.SI2025

Timeliness, Consensus, and Composition of the Crowd: Community Notes on X

Olesya Razuvayevskaya, Adel Tayebi, Ulrikke Dybdal Sørensen +2

This study presents the first large-scale quantitative analysis of the efficiency of X's Community Notes, a crowdsourced moderation system for identifying and contextualising poten…