Do large language models (LLMs) know the law? LLMs are increasingly being used to
augment legal practice, education, and research, yet their revolutionary potential is …

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 …

Abstract Technology influences Open Science (OS) practices, because conducting science
in transparent, accessible, and participatory ways requires tools and platforms for …

Fake news detection plays a crucial role in protecting social media users and maintaining a
healthy news ecosystem. Among existing works, comment-based fake news detection …

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 …

Large language models (LLMs) have advanced to a point that even humans have difficulty
discerning whether a text was generated by another human, or by a computer. However …

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 …

We have witnessed lately a rapid proliferation of advanced Large Language Models (LLMs)
capable of generating high-quality text. While these LLMs have revolutionized text …

The widespread application of large language models (LLMs) has highlighted new security
challenges and ethical concerns, attracting significant academic and societal attention …

Large language models (LLMs) exhibit impressive natural language capabilities but suffer
from hallucination--generating content ungrounded in the realities of training data. Recent …