Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

Fact-checking has become increasingly important due to the speed with which both
information and misinformation can spread in the modern media ecosystem. Therefore …

Existing datasets for automated fact-checking have substantial limitations, such as relying on
artificial claims, lacking annotations for evidence and intermediate reasoning, or including …

Fact-checking real-world claims often requires collecting multiple pieces of evidence and
applying complex multi-step reasoning. In this paper, we present Program-Guided Fact …

Misinformation threatens modern society by promoting distrust in science, changing
narratives in public health, heightening social polarization, and disrupting democratic …

Misinformation is becoming increasingly prevalent on social media and in news articles. It
has become so widespread that we require algorithmic assistance utilising machine …

The ability to generalise well is one of the primary desiderata of natural language
processing (NLP). Yet, what'good generalisation'entails and how it should be evaluated is …

Verifying complex political claims is a challenging task, especially when politicians use
various tactics to subtly misrepresent the facts. Automatic fact-checking systems fall short …

Misinformation is often conveyed in multiple modalities, eg a miscaptioned image.
Multimodal misinformation is perceived as more credible by humans, and spreads faster …