Several studies applying Machine Learning to deception detection have been published in
the last decade. A rich and complex set of settings, approaches, theories, and results is now …

Mis-and disinformation pose substantial societal challenges, and have thus become the
focus of a substantive field of research. However, the field of misinformation research has …

Fake news is a severe organizational and societal problem as social media further
aggravates its spread. Detecting Fake news in real-time is a critical for tackling this …

Crowdfunding has seen an enormous rise, becoming a new alternative funding source for
emerging companies or new startups in recent years. As crowdfunding prevails, it is also …

Objectives Parenting resilience is considered necessary for parents of children with autism
spectrum disorder (ASD) to adapt to the difficulties associated with parenting. In the high …

In this work we consider the collection of deceptive April Fools' Day (AFD) news articles as a
useful addition in existing datasets for deception detection tasks. Such collections have an …

Although it is important to accurately detect deception, limited research in this area has been
undertaken involving Asian people. We aim to address this gap by undertaking research …

AI-based simulations for educational and assessment purposes are gaining global
recognition. Informed by cultural comparison research, this study investigates cross-country …

Goal: To explore how the adoption of artificial intelligence influences Organizational
Citizenship Behavior and the definition of talent, and to assess its impact on organizational …

Automatic deception detection is an important task with several applications in both direct
physical human communication, as well as in computer-mediated one. The objective of this …