Overview
- 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)
Buy print copy
About this book
Similar content being viewed by others
Keywords
Table of contents (14 chapters)
-
User Engagements in the Dissemination of Information Disorder
-
Techniques on Detecting and Mitigating Disinformation
-
Trending Issues
Editors and Affiliations
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