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20242026
most citedRiding the Carousel: The First Extensive Eye Tracking Analysis of Browsing Behavior in Carousel Recommenders

2 citations · 2 across the 3 of their papers we have counts for

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cs.CL2026

MultiCW: A Large-Scale Balanced Benchmark Dataset for Training Robust Check-Worthiness Detection Models

Martin Hyben, Sebastian Kula, Jan Cegin +3

Large Language Models (LLMs) are beginning to reshape how media professionals verify information, yet automated support for detecting check-worthy claims a key step in the fact-che…

cs.CL2026

Beyond speculation: Measuring the growing presence of LLM-generated texts in multilingual disinformation

Dominik Macko, Aashish Anantha Ramakrishnan, Jason Samuel Lucas +4

Increased sophistication of large language models (LLMs) and the consequent quality of generated multilingual text raises concerns about potential disinformation misuse. While huma…

cs.CL2025

A Survey on Automatic Credibility Assessment Using Textual Credibility Signals in the Era of Large Language Models

Ivan Srba, Olesya Razuvayevskaya, João A. Leite +10

In the age of social media and generative AI, the ability to automatically assess the credibility of online content has become increasingly critical, complementing traditional appr…

cs.CL2025

Evaluation of LLM Vulnerabilities to Being Misused for Personalized Disinformation Generation

Aneta Zugecova, Dominik Macko, Ivan Srba +4

The capabilities of recent large language models (LLMs) to generate high-quality content indistinguishable by humans from human-written texts raises many concerns regarding their m…

cs.CL2025

MultiSocial: Multilingual Benchmark of Machine-Generated Text Detection of Social-Media Texts

Dominik Macko, Jakub Kopal, Robert Moro +1

Recent LLMs are able to generate high-quality multilingual texts, indistinguishable for humans from authentic human-written ones. Research in machine-generated text detection is ho…

cs.CL2025

Increasing the Robustness of the Fine-tuned Multilingual Machine-Generated Text Detectors

Dominik Macko, Robert Moro, Ivan Srba

Since the proliferation of LLMs, there have been concerns about their misuse for harmful content creation and spreading. Recent studies justify such fears, providing evidence of LL…