Credibility signals represent a wide range of heuristics that are typically used by journalists
and fact-checkers to assess the veracity of online content. Automating the task of credibility …

To counter the fake news phenomenon, the scholarly community has attempted to debunk
and prebunk disinformation. However, misinformation still constitutes a major challenge due …

To understand the susceptibility to nutrition-health misinformation related to preventing,
treating, or mitigating the risk of COVID-19 during the initial lockdowns around the world, the …

This paper examines social science and humanity theories that have been applied to
studies dealing with misinformation. We identified 273 articles published from 2012 to 2023 …

Adolescents are vulnerable to the exponential increase in fake news spread. Collective
judgment on the quality of news has been an effective intervention. Collective Learning …

Abstract Information is powerful; it can influence peoples' views and, in turn, their behavior.
Much recent research and discussion on the role information plays in view change has …

Fallacies are defective arguments with faulty reasoning. Detecting and classifying them is a
crucial NLP task to prevent misinformation, manipulative claims, and biased decisions …

Logical fallacy uses invalid or faulty reasoning in the construction of a statement. Despite the
prevalence and harmfulness of logical fallacies, detecting and classifying logical fallacies …

To understand the susceptibility to nutrition-health misinformation related to preventing,
treating, or mitigating the risk of COVID-19 during the initial lockdowns around the world, the …

This study explores the effects of confirmation bias, media literacy, and cognitive abilities on
social media users' fake news susceptibility. The objective is to disentangle the complex …