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Titlebook: Data Science for Fake News; Surveys and Perspect Deepak P,Tanmoy Chakraborty,Santhosh Kumar G Book 2021 Springer Nature Switzerland AG 2021

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發(fā)表于 2025-3-21 19:36:29 | 只看該作者 |倒序瀏覽 |閱讀模式
書目名稱Data Science for Fake News
副標題Surveys and Perspect
編輯Deepak P,Tanmoy Chakraborty,Santhosh Kumar G
視頻videohttp://file.papertrans.cn/264/263117/263117.mp4
概述Provides surveys of various data science technologies to address the fake news menace, including graph analytics, natural language processing, information retrieval, and computer vision.Includes persp
叢書名稱The Information Retrieval Series
圖書封面Titlebook: Data Science for Fake News; Surveys and Perspect Deepak P,Tanmoy Chakraborty,Santhosh Kumar G Book 2021 Springer Nature Switzerland AG 2021
描述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
出版日期Book 2021
關(guān)鍵詞Fake News; Data Analytics; Media Analytics; Information Retrieval; Web Search; Media Security
版次1
doihttps://doi.org/10.1007/978-3-030-62696-9
isbn_softcover978-3-030-62698-3
isbn_ebook978-3-030-62696-9Series ISSN 1871-7500 Series E-ISSN 2730-6836
issn_series 1871-7500
copyrightSpringer Nature Switzerland AG 2021
The information of publication is updating

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發(fā)表于 2025-3-21 20:47:38 | 只看該作者
The Information Retrieval Serieshttp://image.papertrans.cn/d/image/263117.jpg
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發(fā)表于 2025-3-22 07:31:06 | 只看該作者
978-3-030-62698-3Springer Nature Switzerland AG 2021
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發(fā)表于 2025-3-22 11:07:26 | 只看該作者
https://doi.org/10.1007/978-3-540-85056-4at the multifaceted approach to fake news we have used in this book is quite unique and hopefully will open up fresh perspectives and questions for the interested reader. In this chapter, we start by motivating the need for such a multifaceted approach toward fake news, followed by introducing the t
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發(fā)表于 2025-3-22 15:53:40 | 只看該作者
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發(fā)表于 2025-3-22 20:35:35 | 只看該作者
https://doi.org/10.1007/978-3-662-11350-9uman cognition tends to consume news more when it is visually depicted through multimedia content than just plain text. Fake news spreaders leverage this cognitive state to prepare false information in such a way that it looks attractive in the first place. Therefore, multi-modal representation of f
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發(fā)表于 2025-3-23 00:25:36 | 只看該作者
Guoxiang Hou,Caikan Chen,Kai Wangitigate its use are essential because of their potential to influence the information ecosystem. A vast amount of work using deep learning techniques paved a way to understand the anatomy of fake news and its spread through social media. This chapter attempts to take stock of such efforts and look b
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