Document Type
Book
Publication Date
June 2022
URL with Digital Object Identifier
https://doi.org/10.1007/978-3-030-95656-1
Abstract
How do we detect, deter, and prevent the spread of mis- and disinformationwith the human eye and AI? How does theory inform the practice, and how do theevidence-based research and best practices in lie-catching and truth-seekingprofessions—inform AI? The book looks into well-established human practicessuch as the routines and processes used in detective work, journalism, and scientificinquiry, and how they contribute toward innovative AI solutions. The book explainsthe principles, inner workings, and recent evolution of five types of state-of-the-artAI technologies suitable for curtailing the spread of mis- and disinformation:automated deception detectors, clickbait detectors, satirical fake detectors, rumordebunkers, and computational fact-checking tools.
Citation of this paper:
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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Notes
Victoria L. RubinMisinformation and DisinformationDetecting Fakes with the Eye and AIExamines how artificial intelligence (AI) and psychology can aid in detectingmis-/disinformation and the language of deceit in digital media contentSuggests 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 ofcontent needed to be reviewed by humans
This book, geared towards both students and professionals, examines the synthesisof artificial intelligence (AI) and psychology in detecting mis-/disinformation in digitalmedia content, and suggests practical means to intervene and curtail this currentglobal ‘infodemic’. This interdisciplinary book explores technological, psychological,philosophical, and linguistic insights into the nature of truth and deception, trust andcredibility,cognitive biases and logical fallacies and how, through AI and humanintervention, content users can be alerted to the presence of deception. The authorinvestigates how AI can mimic the procedures and know-hows of humans,showinghow 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 withbroader societal and individual concerns. Each chapter focuses attention on keyconcepts and their inter-connection. The first part of the book seeks theoreticalfooting to understand our interactions with new information and reviews relevantempirical findings in behavioral sciences. The second part is about appliedknowledge.
Edition No: 12022. XX, 289 p. 50 illus., 34 illus. incolor.Printed BookHard coverISBN 978-3-030-95655-464.99 € |£ 54.99 |$ 79.9969.54 € (D) |71.49 € (A) |CHF 77.00eBookISBN 978-3-030-95656-149.99 € |£ 43.99 |53.49 € (D) |CHF 61.50MyCopyISBN 978-3-030-95657-8£ 39.99 |39.99 € (D) |39.99 € (A) |CHF 39.99Soft coverISBN 978-3-030-95658-549.99 € |£ 44.99 |53.49 € (D) |54.99 € (A) |CHF 59.00