Deepak P,Tanmoy Chakraborty,Cheng Long,Santhosh Kumar G
Data Science for Fake News: Surveys and Perspectives
Data Science for Fake News: Surveys and Perspectives
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This book provides an overview of fake news detection, combining tutorial-style articles and expert perspectives from various disciplines to advance the field. It covers a range of data science subfields and includes perspective notes from experts to shape future research. The main target groups are academic and industrial researchers, and young researchers are equipped to start engaging in research.
Format: Paperback / softback
Length: 302 pages
Publication date: 30 April 2022
Publisher: Springer Nature Switzerland AG
This comprehensive book offers a thorough exploration of fake news detection, encompassing a diverse range of tutorial-style survey articles that highlight advancements from various perspectives and in a distinctive direction. The foundation of this approach lies in the recognition that advancing the field of data science approaches for fake news requires an interdisciplinary collaboration, and the insights and expertise of domain experts are vital in shaping the future of methods and tools. The fake news challenge spans multiple data science subfields, including graph analytics, spatio-temporal data mining, information retrieval, natural language processing, computer vision, and image processing. This book will present a series of tutorial-style surveys that summarize a wide array of recent research in the field. In a unique feature, this book includes perspective notes from experts in fields such as linguistics, anthropology, medicine, and politics, which will contribute to shaping the next generation of data science research in fake news. The primary audience of this book includes academic and industrial researchers with a focus on data science, as well as those interested in developing and applying data science technologies for fake news detection. For young researchers, such as PhD students, this book provides a comprehensive review of data science work on fake news, equipping them with the necessary knowledge to embark on research within this field. For experienced researchers, the detailed descriptions of approaches offer valuable guidance in identifying promising directions for future research.
Weight: 486g
Dimension: 235 x 155 (mm)
ISBN-13: 9783030626983
Edition number: 1st ed. 2021
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