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Books > Computing & IT > Computer communications & networking > Network security
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Data Science for Fake News - Surveys and Perspectives (Hardcover, 1st ed. 2021)
Loot Price: R4,272
Discovery Miles 42 720
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Data Science for Fake News - Surveys and Perspectives (Hardcover, 1st ed. 2021)
Series: The Information Retrieval Series, 42
Expected to ship within 18 - 22 working days
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This book provides an overview of fake news detection, both through
a variety of tutorial-style survey articles that capture
advancements in the field from various facets and in a somewhat
unique direction through expert perspectives from various
disciplines. The approach is based on the idea that advancing the
frontier on data science approaches for fake news is an
interdisciplinary effort, and that perspectives from domain experts
are crucial to shape the next generation of methods and tools. The
fake news challenge cuts across a number of data science subfields
such as graph analytics, mining of spatio-temporal data,
information retrieval, natural language processing, computer vision
and image processing, to name a few. This book will present a
number of tutorial-style surveys that summarize a range of recent
work in the field. In a unique feature, this book includes
perspective notes from experts in disciplines such as linguistics,
anthropology, medicine and politics that will help to shape the
next generation of data science research in fake news. The main
target groups of this book are academic and industrial researchers
working in the area of data science, and with interests in devising
and applying data science technologies for fake news detection. For
young researchers such as PhD students, a review of data science
work on fake news is provided, equipping them with enough know-how
to start engaging in research within the area. For experienced
researchers, the detailed descriptions of approaches will enable
them to take seasoned choices in identifying promising directions
for future research.
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