Editors:
- Covers an interdisciplinary emerging research topic on disinformation and misinformation attracting increasing attention
- Contains recent advanced social computing, data mining, and machine learning methods
- Helps to understand the problems and challenges, learn state-of-the-art solutions for their specific needs
Part of the book series: Lecture Notes in Social Networks (LNSN)
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Table of contents (14 chapters)
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Front Matter
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User Engagements in the Dissemination of Information Disorder
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Front Matter
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Techniques on Detecting and Mitigating Disinformation
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Front Matter
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Trending Issues
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Front Matter
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Back Matter
About this book
Editors and Affiliations
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Computer Science & Engineering, Arizona State University, Tempe, USA
Kai Shu, Huan Liu
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College of Information Sciences and Technology, The Pennsylvania State University, University Park, USA
Suhang Wang, Dongwon Lee
Bibliographic Information
Book Title: Disinformation, Misinformation, and Fake News in Social Media
Book Subtitle: Emerging Research Challenges and Opportunities
Editors: Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
Series Title: Lecture Notes in Social Networks
DOI: https://doi.org/10.1007/978-3-030-42699-6
Publisher: Springer Cham
eBook Packages: Computer Science, Computer Science (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-42698-9Published: 18 June 2020
Softcover ISBN: 978-3-030-42701-6Published: 19 June 2021
eBook ISBN: 978-3-030-42699-6Published: 17 June 2020
Series ISSN: 2190-5428
Series E-ISSN: 2190-5436
Edition Number: 1
Number of Pages: VIII, 288
Number of Illustrations: 11 b/w illustrations, 73 illustrations in colour
Topics: Data Mining and Knowledge Discovery, Computational Social Sciences, Computer Appl. in Social and Behavioral Sciences, Social Media, Journalism