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Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities 2020 ed. [Hardback]

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  • Formāts: Hardback, 288 pages, height x width: 235x155 mm, weight: 612 g, 73 Illustrations, color; 11 Illustrations, black and white; VIII, 288 p. 84 illus., 73 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Social Networks
  • Izdošanas datums: 18-Jun-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303042698X
  • ISBN-13: 9783030426989
  • Hardback
  • Cena: 162,93 €*
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  • Formāts: Hardback, 288 pages, height x width: 235x155 mm, weight: 612 g, 73 Illustrations, color; 11 Illustrations, black and white; VIII, 288 p. 84 illus., 73 illus. in color., 1 Hardback
  • Sērija : Lecture Notes in Social Networks
  • Izdošanas datums: 18-Jun-2020
  • Izdevniecība: Springer Nature Switzerland AG
  • ISBN-10: 303042698X
  • ISBN-13: 9783030426989
This book serves as a convenient entry point for researchers, practitioners, and students to understand the problems and challenges, learn state-of-the-art solutions for their specific needs, and quickly identify new research problems in their domains. The contributors to this volume describe the recent advancements in three related parts: (1) user engagements in the dissemination of information disorder; (2) techniques on detecting and mitigating disinformation; and (3) trending issues such as ethics, blockchain, clickbaits, etc. This edited volume will appeal to students, researchers, and professionals working on disinformation, misinformation and fake news in social media from a unique lens.
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
1(22)
Kai Shu
Suhang Wang
Dongwon Lee
Huan Liu
Part I User Engagements in the Dissemination of Information Disorder
Discover Your Social Identity from What You Tweet: A Content Based Approach
23(16)
Binxuan Huang
Kathleen M. Carley
User Engagement with Digital Deception
39(24)
Maria Glenski
Svitlana Volkova
Srijan Kumar
Characterization and Comparison of Russian and Chinese Disinformation Campaigns
63(20)
David M. Beskow
Kathleen M. Carley
Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaigns
83(12)
Matthew Babcock
Ramon Villa-Cox
Kathleen M. Carley
Bots, Elections, and Social Media: A Brief Overview
95(22)
Emilio Ferrara
Part II Techniques on Detecting and Mitigating Disinformation
Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision
117(24)
Sara Abdali
Gisel G. Bastidas
Neil Shah
Evangelos E. Papalexakis
Exploring the Role of Visual Content in Fake News Detection
141(22)
Juan Cao
Peng Qi
Qiang Sheng
Tianyun Yang
Junbo Guo
Jintao Li
Credibility-Based Fake News Detection
163(20)
Niraj Sitaula
Chilukuri K. Mohan
Jennifer Grygiel
Xinyi Zhou
Reza Zafarani
Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake News
183(30)
Nguyen Vo
Kyumin Lee
Part III Trending Issues
Developing a Model to Measure Fake News Detection Literacy of Social Media Users
213(16)
Julian Biihler
Matthias Murawski
Mahdieh Darvish
Markus Bick
BaitWatcher: A Lightweight Web Interface for the Detection of Incongruent News Headlines
229(24)
Kunwoo Park
Taegyun Kim
Seunghyun Yoon
Meeyoung Cha
Kyomin Jung
An Evolving (Dis)Information Environment -- How an Engaging Audience Can Spread Narratives and Shape Perception: A Trident Juncture 2018 Case Study
253(14)
Katrin Galeano
Rick Galeano
Nitin Agarwal
Blockchain Technology-Based Solutions to Fight Misinformation: A Survey
267(16)
Karen Watts DiCicco
Nitin Agarwal
Index 283