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Springer Combating Fake News with Computational Intelligence - Book

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Description

This comprehensive volume from Springer explores advanced computational intelligence techniques for detecting and combating misinformation in the digital age. Part of the respected Studies in Computational Intelligence series (volume 1001), the book presents cutting-edge research and practical methodologies for identifying fake news across various platforms. Designed for researchers, academics and professionals in computer science and artificial intelligence, it combines theoretical foundations with real-world applications to address one of today's most pressing information challenges. The publication delivers in-depth analysis of machine learning algorithms, natural language processing, and data mining approaches specifically tailored to fake news detection and verification. This authoritative resource serves as both a reference guide and a research foundation for those developing next-generation solutions to combat digital misinformation.

Key Features

Springer Studies in Computational Intelligence series volume 1001 delivers research-backed solutions for identifying and countering fake news.

Covers computational intelligence techniques including machine learning, natural language processing, and data mining methods.

Comprehensive coverage of fake news detection algorithms and verification strategies across digital platforms.

Serves as an essential reference for computer science researchers and AI professionals working on information verification systems.

Product Specifications

Format
paperback
Domain
Amazon UK
Release Date
17 December 2022
Listed Since
23 November 2022

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