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 advent of Large Language Models (LLMs) has made a transformative impact. However,
the potential that LLMs such as ChatGPT can be exploited to generate misinformation has …

Detecting fake news requires both a delicate sense of diverse clues and a profound
understanding of the real-world background, which remains challenging for detectors based …

It is commonly perceived that fake news and real news exhibit distinct writing styles, such as
the use of sensationalist versus objective language. However, we emphasize that style …

Large language models (LLMs) have substantially pushed artificial intelligence (AI) research
and applications in the last few years. They are currently able to achieve high effectiveness …

Automatic detection of multimodal misinformation has gained a widespread attention
recently. However, the potential of powerful Large Language Models (LLMs) for multimodal …

Large language models are limited by challenges in factuality and hallucinations to be
directly employed off-the-shelf for judging the veracity of news articles, where factual …

In the times of advanced generative artificial intelligence, distinguishing truth from fallacy
and deception has become a critical societal challenge. This research attempts to analyze …

The dissemination of false information on online platforms presents a serious societal
challenge. While manual fact-checking remains crucial, Large Language Models (LLMs) …

This paper studies a critical problem of emergent health misinformation detection, aiming to
mitigate the spread of misinformation in emergent health domains to support well-informed …