Equipping machines with comprehensive knowledge of the world's entities and their
relationships has been a longstanding goal of AI. Over the last decade, large-scale …

The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …

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

Fact-checking is the task of verifying the veracity of claims by assessing their assertions
against credible evidence. The vast majority of fact-checking studies focus exclusively on …

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 …

The recent proliferation of" fake news" has triggered a number of responses, most notably
the emergence of several manual fact-checking initiatives. As a result and over time, a large …

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

A number of exciting advances have been made in automated fact-checking thanks to
increasingly larger datasets and more powerful systems, leading to improvements in the …

We propose end-to-end multimodal fact-checking and explanation generation, where the
input is a claim and a large collection of web sources, including articles, images, videos, and …

While large pre-trained language models (LLMs) have shown their impressive capabilities in
various NLP tasks, they are still under-explored in the misinformation domain. In this paper …