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 …

Objectives To evaluate the effectiveness of safeguards to prevent large language models
(LLMs) from being misused to generate health disinformation, and to evaluate the …

Background: Unmet need for health care is defined as choosing to postpone or completely
avoid necessary medical treatment despite having a need for it, which can worsen current …

During the pandemic, disparities and biases in our society were thrown into high relief.
Political extremism and conspiratorial thinking grew due to fatigue over COVID-19 safety …

Importance Identifying environmental factors that contribute to disease onset/activity in PV
stands to improve clinical outcomes and patient quality of life by strategies aimed at …

Recent challenges to scientific authority in relation to the COVID pandemic, climate change,
and the proliferation of conspiracy theories raise questions about the nature of knowledge …

In this study, I examine how users of an online Reddit community, r/IntellectualDarkWeb,
forged an anti-establishment collective identity through practices of “heterodox scientific” …

Four years after the first case of COVID-19, the world is still determining how best to prevent
and control the long-term effects of SARS-CoV-2 infection. Non-pharmaceutical …

Many efforts to confront inaccurate or misleading health claims have focused on reducing
their supply and dissemination. Although this is worthwhile, the authors of this commentary …

Background: Mis-and disinformation on social media have become widespread, which can
lead to a lack of trust in health information sources and, in turn, lead to negative health …