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Disinformation, Misinformation, and Fake News in Social Media

Emerging Research Challenges and Opportunities

  • Book
  • © 2020

Overview

Editors:
  1. Kai Shu

    1. Computer Science & Engineering, Arizona State University, Tempe, USA

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  2. Suhang Wang

    1. College of Information Sciences and Technology, The Pennsylvania State University, University Park, USA

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  3. Dongwon Lee

    1. College of Information Sciences and Technology, The Pennsylvania State University, University Park, USA

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  4. Huan Liu

    1. Computer Science & Engineering, Arizona State University, Tempe, USA

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  • 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)

  1. Front Matter

    Pages i-viii
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  2. Mining Disinformation and Fake News: Concepts, Methods, and Recent Advancements

    • Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
    Pages 1-19

  3. User Engagements in the Dissemination of Information Disorder

    1. Front Matter

      Pages 21-21
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    2. Discover Your Social Identity from What You Tweet: A Content Based Approach

      • Binxuan Huang, Kathleen M. Carley
      Pages 23-37

    3. User Engagement with Digital Deception

      • Maria Glenski, Svitlana Volkova, Srijan Kumar
      Pages 39-61

    4. Characterization and Comparison of Russian and Chinese Disinformation Campaigns

      • David M. Beskow, Kathleen M. Carley
      Pages 63-81

    5. Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaigns

      • Matthew Babcock, Ramon Villa-Cox, Kathleen M. Carley
      Pages 83-94

    6. Bots, Elections, and Social Media: A Brief Overview

      • Emilio Ferrara
      Pages 95-114

  4. Techniques on Detecting and Mitigating Disinformation

    1. Front Matter

      Pages 115-115
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    2. Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision

      • Sara Abdali, Gisel G. Bastidas, Neil Shah, Evangelos E. Papalexakis
      Pages 117-140

    3. Exploring the Role of Visual Content in Fake News Detection

      • Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, Jintao Li
      Pages 141-161

    4. Credibility-Based Fake News Detection

      • Niraj Sitaula, Chilukuri K. Mohan, Jennifer Grygiel, Xinyi Zhou, Reza Zafarani
      Pages 163-182

    5. Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake News

      • Nguyen Vo, Kyumin Lee
      Pages 183-210

  5. Trending Issues

    1. Front Matter

      Pages 211-211
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    2. Developing a Model to Measure Fake News Detection Literacy of Social Media Users

      • Julian Bühler, Matthias Murawski, Mahdieh Darvish, Markus Bick
      Pages 213-227

    3. BaitWatcher: A Lightweight Web Interface for the Detection of Incongruent News Headlines

      • Kunwoo Park, Taegyun Kim, Seunghyun Yoon, Meeyoung Cha, Kyomin Jung
      Pages 229-252

    4. An Evolving (Dis)Information Environment – How an Engaging Audience Can Spread Narratives and Shape Perception: A Trident Juncture 2018 Case Study

      • Katrin Galeano, Rick Galeano, Nitin Agarwal
      Pages 253-265

    5. Blockchain Technology-Based Solutions to Fight Misinformation: A Survey

      • Karen Watts DiCicco, Nitin Agarwal
      Pages 267-281

  6. Back Matter

    Pages 283-288
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Keywords

About this book

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.

Editors and Affiliations

  • Computer Science & Engineering, Arizona State University, Tempe, USA

    Kai Shu, Huan Liu

  • College of Information Sciences and Technology, The Pennsylvania State University, University Park, USA

    Suhang Wang, Dongwon Lee

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