Artificial intelligence (AI), especially the most recent large language models (LLMs), holds
great promise in healthcare and medicine, with applications spanning from biological …

The task of fact-checking deals with assessing the veracity of factual claims based on
credible evidence and background knowledge. In particular, scientific fact-checking is the …

Despite their impressive generative capabilities, LLMs are hindered by fact-conflicting
hallucinations in real-world applications. The accurate identification of hallucinations in texts …

We present a new fact-checking benchmark, Check-COVID, that requires systems to verify
claims about COVID-19 from news using evidence from scientific articles. This approach to …

Current scientific fact-checking benchmarks exhibit several shortcomings, such as biases
arising from crowd-sourced claims and an over-reliance on text-based evidence. We present …

As artificial intelligence (AI) has become pervasive in journalistic production, the influence of
algorithms on media practices has grown. We must always consider the interdisciplinary …

Recent studies indicated GPT-4 outperforms online crowd workers in data labeling
accuracy, notably workers from Amazon Mechanical Turk (MTurk). However, these studies …

The increasing rate at which scientific knowledge is discovered and health claims shared
online has highlighted the importance of developing efficient fact-checking systems for …

The COVID-19 pandemic has been accompanied by a proliferation of online misinformation
and disinformation about the virus. Combating this 'infodemic'has been identified as one of …

Seeking health-related advice on the internet has become a common practice in the digital
era. Determining the trustworthiness of medical claims found online and finding appropriate …