Abstract
How do we detect, deter, and prevent the spread of mis- and disinformation
with the human eye and AI? How does theory inform the practice, and how do the
evidence-based research and best practices in lie-catching and truth-seeking
professions—inform AI? The book looks into well-established human practices
such as the routines and processes used in detective work, journalism, and scientific
inquiry, and how they contribute toward innovative AI solutions. The book explains
the principles, inner workings, and recent evolution of five types of state-of-the-art
AI technologies suitable for curtailing the spread of mis- and disinformation:
automated deception detectors, clickbait detectors, satirical fake detectors, rumor
debunkers, and computational fact-checking tools.

Suggested citation:

Rubin, V. L. (2022). Misinformation and Disinformation: Detecting Fakes with the Eye and AI.
Springer Nature, Switzerland. https://doi.org/10.1007/978-3-030-95656-1

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