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Springer Disinformation and Fake News in Social Media - Research Guide

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Description

This comprehensive volume from Springer provides researchers, practitioners, and students with essential insights into information disorder across social media platforms. The book is organised into three interconnected parts: user engagement patterns in information dissemination, advanced techniques for detecting and mitigating disinformation, and emerging challenges including ethics, blockchain technology, and clickbait detection. Whether you are developing detection algorithms, studying user behaviour, or exploring new research frontiers, this edited collection offers state-of-the-art solutions tailored to specific domains. The contributors present recent advancements and practical approaches to combating false information, making this volume an invaluable resource for anyone seeking to understand and address the growing challenges of misinformation in digital environments.

Key Features

Three-part structure covering user engagement in information disorder, detection and mitigation techniques, and emerging ethical and technological issues.

Contributions from leading researchers and practitioners addressing the latest advancements in combating disinformation and fake news.

Practical solutions designed for students, researchers, and industry professionals working across computing and artificial intelligence domains.

Focus on blockchain, clickbait detection, and ethics alongside core technical approaches to tackling social media misinformation.

Published by Springer as part of the Lecture Notes in Social Networks series, ensuring academic rigour and peer-reviewed content.

Serves as both an entry point for newcomers and a reference for established professionals seeking state-of-the-art research solutions.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
18 June 2020
Listed Since
31 January 2020

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