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Disinformation, Misinformation, and Fake News in Social Media : Emerging Research Challenges and Opportunities
other
Editor(s):
Kai Shu
,
Suhang Wang
,
Dongwon Lee
,
Huan Liu
Publication date
(Print):
2020
Publisher:
Springer International Publishing
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Author and book information
Book
ISBN (Print):
978-3-030-42698-9
ISBN (Electronic):
978-3-030-42699-6
Publication date (Print):
2020
DOI:
10.1007/978-3-030-42699-6
SO-VID:
a71ae85b-7eb4-43ff-a28c-d66278316e0f
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Book chapters
pp. 1
Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements
pp. 23
Discover Your Social Identity from What You Tweet: A Content Based Approach
pp. 39
User Engagement with Digital Deception
pp. 63
Characterization and Comparison of Russian and Chinese Disinformation Campaigns
pp. 83
Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaigns
pp. 95
Bots, Elections, and Social Media: A Brief Overview
pp. 117
Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision
pp. 141
Exploring the Role of Visual Content in Fake News Detection
pp. 163
Credibility-Based Fake News Detection
pp. 183
Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake News
pp. 213
Developing a Model to Measure Fake News Detection Literacy of Social Media Users
pp. 229
BaitWatcher: A Lightweight Web Interface for the Detection of Incongruent News Headlines
pp. 253
An Evolving (Dis)Information Environment – How an Engaging Audience Can Spread Narratives and Shape Perception: A Trident Juncture 2018 Case Study
pp. 267
Blockchain Technology-Based Solutions to Fight Misinformation: A Survey
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