In recent years, we have witnessed a rise in fake news, ie, provably false pieces of
information created with the intention of deception. The dissemination of this type of news …

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 …

Satire is an attractive subject in deception detection research: it is a type of deception that
intentionally incorporates cues revealing its own deceptiveness. Whereas other types of …

ABSTRACT A fake news detection system aims to assist users in detecting and filtering out
varieties of potentially deceptive news. The prediction of the chances that a particular news …

Tabloid journalism is often criticized for its propensity for exaggeration, sensationalization,
scare-mongering, and otherwise producing misleading and low quality news. As the news …

Prototypical instances of disinformation include deceptive advertising (in business and in
politics), government propaganda, doctored photographs, forged documents, fake maps …

Purpose The purpose of this paper is to treat disinformation and misinformation (intentionally
deceptive and unintentionally inaccurate misleading information, respectively) as a socio …

In the wake of the Covid-19 pandemic, most universities had to switch to “emergency online
learning”. At the same time, academics were in search of means to combat “the infodemic”, a …

This meta-analysis investigates linguistic cues to deception and whether these cues can be
detected with computer programs. We integrated operational definitions for 79 cues from 44 …

This paper argues that big data can possess different characteristics, which affect its quality.
Depending on its origin, data processing technologies, and methodologies used for data …