Misinformation and Disinformation: Detecting Fakes with the Eye and AI

The book is useful to students and professionals studying AI and media studies as well as library and information professionals.

Format: Hardback
Length: 289 pages
Publication date: 15 June 2022
Publisher: Springer Nature Switzerland AG

Provides practical strategies for intervening and mitigating the current global 'infodemic'.

Explores technological, psychological, philosophical, and linguistic perspectives on truth and deception, trust and credibility, cognitive biases, and logical fallacies.

Discusses how AI can mimic human processes, detect fakes, debunk rumors, and fact-check content.

Explains how AI detection systems work and their alignment with societal and individual concerns.

Highlights key concepts and their interconnectedness throughout the book.

Part 1 establishes theoretical foundations for understanding interactions with new information.

Part 2 focuses on applied knowledge, examining known practices to protect against deception and providing real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations.

Includes links to downloadable executable files for three AI applications (clickbait, satire, and falsehood detectors) hosted on LiT.RL GitHub, an open-access repository.

Valuable resource for students, professionals, library and information professionals, and anyone interested in AI and media studies.

Weight: 636g
Dimension: 160 x 241 x 22 (mm)
ISBN-13: 9783030956554
Edition number: 1st ed. 2022