arxiv:1812.00315v1 [cs.CL] 2 Dec 2018 Page 1 Fake News: A Survey of Research,
Detection Methods, and Opportunities XINYI ZHOU, Syracuse University, USA REZA …

To support human decision making with machine learning models, we often need to
elucidate patterns embedded in the models that are unsalient, unknown, or counterintuitive …

There is agreement among researchers that no simple verbal cues to deception detectable
by humans have been demonstrated. This paper examines the evidence for the most …

Humans ability to detect lies is no more accurate than chance according to the American
Psychological Association. The state-of-the-art deception detection methods, such as …

Deception often takes place during everyday conversations, yet conversational dialogues
remain largely unexplored by current work on automatic deception detection. In this paper …

Deception detection has received an increasing amount of attention in recent years, due to
the significant growth of digital media, as well as increased ethical and security concerns …

Automated deception detection (ADD) from real-life videos is a challenging task. It
specifically needs to address two problems:(1) Both face and body contain useful cues …

Deception detection in conversations is a challenging yet important task, having pivotal
applications in many fields such as credibility assessment in business, multimedia anti …

Online discussions often derail into toxic exchanges between participants. Recent efforts
mostly focused on detecting antisocial behavior after the fact, by analyzing single comments …

Abstract Machine intelligence methods originated as effective tools for generating learning
representations of features directly from the data and have indicated usefulness in the area …