Misinformation and Disinformation

Detecting Fakes with the Eye and AI

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This book, geared towards both students and professionals, examines the synthesis of artificial intelligence (AI) and psychology in detecting mis-/disinformation in digital media content, and suggests practical means to intervene and curtail this current global ‘infodemic’. This interdisciplinary book explores technological, psychological, philosophical, and linguistic insights into the nature of truth and deception, trust and credibility, cognitive biases and logical fallacies and how, through AI and human intervention, content users can be alerted to the presence of deception. The author investigates how AI can mimic the procedures and know-hows of humans, showing how AI can help spot fakes and how AI tools can work to debunk rumors and fact-check. The book describes how AI detection systems work and how they fit with broader societal and individual concerns. Each chapter focuses attention on key concepts and their inter-connection. The first part of the book seeks theoretical footing to understand our interactions with new information and reviews relevant empirical findings in behavioral sciences. The second part is about applied knowledge. The author looks at several known practices that guard us against deception, and provides several real-world examples of manipulative persuasive techniques in advertising, political propaganda, and public relations. She provides links to the downloadable executable files to three AI applications (clickbait, satire, and falsehood detectors) via LiT.RL GitHub, an open access repository. The book is useful to students and professionals studying AI and media studies as well as library and information professionals.

Examines how artificial intelligence (AI) and psychology can aid in detecting mis-/disinformation and the language of deceit in digital media content;
Suggests practical computational means to intervene and curtail the global ‘infodemic’ of fake news;
Presents how AI can sift, sort, and shuffle digital content, to reduce the amount of content needed to be reviewed by humans.

Autor:Victoria L. Rubin

Verlag:

Springer International Publishing

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Veröffentlichung:	15.06.2022
Höhe/Breite/Gewicht	H 23,5 cm / B 15,5 cm / -
Seiten	289
Art des Mediums	Buch [Gebundenes Buch]
Preis DE	EUR 69.54
Preis AT	EUR 71.49
ISBN-13	978-3-030-95655-4
ISBN-10	3030956555

Über den Autor

Victoria L. Rubin is an Associate Professor at the Faculty of Information and Media Studies and the Director of the Language and Information Technologies Research Lab (LiT.RL) at the University of Western Ontario. She specializes in information retrieval and natural language processing techniques that enable analyses of texts to identify, extract, and organize structured knowledge. At Western , she studies complex human information behaviors that are, at least partly, expressed through language such as deception, uncertainty, credibility, and emotions. Her research on Deception Detection and Automated News Verification has been published in several core workshops on these topics, in prominent information science and computational linguistics conferences, in collections of edited book chapters on social media research methodology, as well as in the Journal of the Association for Information Science and Technology, the Journal of Documentation, and the Canadian Journal of Information and Library Science. Her project entitled Digital Deception Detection: Identifying Deliberate Misinformation in Online News was funded by the Government of Canada Social Sciences and Humanities Research Council (SSHRC) Insight Grant.