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 …

The scale, volume, and distribution speed of disinformation raise concerns in governments,
businesses, and citizens. To respond effectively to this problem, we first need to …

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

In the modern era of computing, the news ecosystem has transformed from old traditional
print media to social media outlets. Social media platforms allow us to consume news much …

The explosion of social media allowed individuals to spread information without cost, with
little investigation and fewer filters than before. This amplified the old problem of fake news …

We describe SemEval-2023 task 3 on Detecting the Category, the Framing, and the
Persuasion Techniques in Online News in a Multilingual Setup: the dataset, the task …

Recent progress in natural language generation has raised dual-use concerns. While
applications like summarization and translation are positive, the underlying technology also …

This paper solves the fake news detection problem under a more realistic scenario on social
media. Given the source short-text tweet and the corresponding sequence of retweet users …

Nowadays, fake news detection, which aims to verify whether a news document is trusted or
fake, has become urgent and important. Most existing methods rely heavily on linguistic and …

The reporting and the analysis of current events around the globe has expanded from
professional, editor-lead journalism all the way to citizen journalism. Nowadays, politicians …