Combating Fake News with Computational Intelligence Techniques (Paperback, 1st ed. 2022)

This book presents the latest cutting-edge research, theoretical methods, and novel applications in the field of computational intelligence techniques and methods for combating fake news. Fake news is everywhere. Despite the efforts of major social network players such as Facebook and Twitter to fight disinformation, miracle cures and conspiracy theories continue to rain down on the net. Artificial intelligence can be a bulwark against the diversity of fake news on the Internet and social networks. This book discusses new models, practical solutions, and technological advances related to detecting and analyzing fake news based on computational intelligence models and techniques, to help decision-makers, managers, professionals, and researchers design new paradigms considering the unique opportunities associated with computational intelligence techniques. Further, the book helps readers understand computational intelligence techniques combating fake news in a systematic and straightforward way.

General

Imprint:	Springer Nature Switzerland AG
Country of origin:	Switzerland
Series:	Studies in Computational Intelligence, 1001
Release date:	December 2022
First published:	2022
Editors:	Mohamed Lahby • Al-Sakib Khan Pathan • Yassine Maleh • Wael Mohamed Shaher Yafooz
Dimensions:	235 x 155mm (L x W)
Format:	Paperback
Pages:	435
Edition:	1st ed. 2022
ISBN-13:	978-3-03-090089-2
Categories:	Books > Reference & Interdisciplinary > Communication studies > Media studies Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-03-090089-4
Barcode:	9783030900892

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