£96.99

Springer Data Science for Fake News - Information Retrieval 42

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Description

Explore the evolving landscape of misinformation with Data Science for Fake News: Surveys and Perspectives. Part of the Information Retrieval Series, this volume provides a comprehensive look at fake news detection through a collection of tutorial-style survey articles. These articles track recent advancements and developments across multiple facets of the field. This book follows a unique approach by including expert perspectives from various disciplines. It is built on the principle that solving the fake news challenge requires an interdisciplinary effort. By incorporating viewpoints from domain experts, the text helps shape the next generation of tools and methods. The content touches on several data science subfields, including graph analytics and other relevant areas of computing. This makes it a valuable resource for anyone looking to understand how data science can be applied to combat misinformation in a modern digital environment.

Key Features

Comprehensive survey articles that provide a tutorial-style overview of current fake news detection advancements.

Interdisciplinary perspectives from various domain experts to help shape future data science methods and tools.

Covers multiple data science subfields including graph analytics to address the complexities of misinformation.

Part of the professional Information Retrieval Series (Volume 42) from Springer.

Provides a unique look at the field through diverse disciplinary viewpoints and expert insights.

Product Specifications

Format
Hardcover
Domain
Amazon UK
Release Date
30 April 2021
Listed Since
26 September 2020

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No barcode data available

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