As artificial intelligence (AI) has become pervasive in journalistic production, the influence of
algorithms on media practices has grown. We must always consider the interdisciplinary …

This study explores the major challenges in fact verification for the Indonesian language due
to gaps in managing dynamic information, uncertainties from linguistic variations, and the …

This article presents a pipeline for automated fact-checking leveraging publicly available
language models and data. The objective is to assess the accuracy of textual claims using …

This paper describes our $3^{rd} $ place submission in the AVeriTeC shared task in which
we attempted to address the challenge of fact-checking with evidence retrieved in the wild …

We present BenCzechMark (BCM), the first comprehensive Czech language benchmark
designed for large language models, offering diverse tasks, multiple task formats, and …

Despite the rapid recent progress in creating accurate and compact in-context learners, most
recent work focuses on in-context learning (ICL) for tasks in English. However, the ability to …

The rapid spread of misinformation through social media platforms has raised concerns
regarding its impact on public opinion. While misinformation is prevalent in other languages …

Social media platforms have become a medium for rapidly spreading rumors along with
emerging events. Those rumors may have a lasting effect on users' opinion even after it is …

Nedávné inovace v oblasti zpracování přirozeného jazyka (anglicky natural language
processing, NLP) umožnily vytvoření obecnějších neuronových jazykových modelů, které …

Automatické ověřování faktů v češtině pomáhá novinářům ověřovat tvrzení v boji proti šíření
dezinformací. Tato práce navazuje na předchozí výzkum provedený v AIC, představuje …