Social Networks' omnipresence and ease of use has revolutionized the generation and
distribution of information in today's world. However, easy access to information does not …

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

Purpose The purpose of this study is to unpack the antecedents and consequences of
clickbait prevalence in online media at two different levels, namely,(1) Headline-level: what …

Clickbait, the intentional use of exaggerated and misleading content to entice people to click
on a link to a particular web page, is a phenomenon that has grown rapidly in recent years …

The goal of this chapter is to introduce readers to computational techniques for social media
content verification, with a cursory look at the roots of the field in pre-social media deception …

Fake news and misinformation is a widespread phenomenon these days, affecting social
media, alternative and traditional media. In a climate of increasing polarization and …

This chapter focuses on how it is possible to become and remain misinformed even when
the information we receive is not itself misleading or inaccurate. In common usage, the term …

Automatic clickbait detection is a relatively novel task in natural language processing (NLP)
and machine learning (ML)." Clickbait" is a hyperlink created primarily to attract attention to …

Chapter 1 frames the problem of deceptive, inaccurate, and misleading information in the
digital media content and information technologies as an infodemic. Mis-and disinformation …

Chapter 7 focuses on artificially intelligent (AI) systems that can help the human eye identify
fakes of several kinds and call them out for the benefit of the public good. I explain, in plain …