Document details

Disinformation, Misinformation, and Fake News in Social Media: Emerging Research Challenges and Opportunities

Cham: Springer (2020), viii, 288 pp.

Contains illustrations, index

Series: Lecture Notes in Social Networks

ISBN 978-3-030-42699-6 (ebook); 978-3-030-42698-9 (print)

"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. (Publisher description)
Mining Disinformation and Fake News: Concepts, Methods,
and Recent Advancements / KaI: Shu, Suhang Wang, Dongwon Lee, and Huan Liu, 1
PART I: USER ENGAGEMENTS IN THE DISSEMINATION OF INFORMATION DISORDER
Discover Your Social Identity from What You Tweet: A Content Based Approach / Binxuan Huang and Kathleen M. Carley, 23
User Engagement with Digital Deception / Maria Glenski, Svitlana Volkova, and Srijan Kumar, 39
Characterization and Comparison of Russian and Chinese Disinformation Campaigns / David M. Beskow and Kathleen M. Carley, 63
Pretending Positive, Pushing False: Comparing Captain Marvel Misinformation Campaigns / Matthew Babcock, Ramon Villa-Cox, and Kathleen M. Carley, 83
Bots, Elections, and Social Media: A Brief Overview / Emilio Ferrara, 95
PART II: TECHNIQUES ON DETECTING AND MITIGATING DISINFORMATION
Tensor Embeddings for Content-Based Misinformation Detection with Limited Supervision / Sara Abdali, Gisel G. Bastidas, Neil Shah, and Evangelos E. Papalexakis, 117
Exploring the Role of Visual Content in Fake News Detection / Juan Cao, Peng Qi, Qiang Sheng, Tianyun Yang, Junbo Guo, and Jintao Li, 141
Credibility-Based Fake News Detection / Niraj Sitaula, ChilukurI: K. Mohan, Jennifer Grygiel, XinyI: Zhou, and Reza Zafarani, 163
Standing on the Shoulders of Guardians: Novel Methodologies to Combat Fake News / Nguyen Vo and Kyumin Lee, 183
PART III: TRENDING ISSUES
Developing a Model to Measure Fake News Detection Literacy of Social Media Users / Julian Bühler, Matthias Murawski, Mahdieh Darvish, and Markus Bick, 213
BaitWatcher: A Lightweight Web Interface for the Detection of Incongruent News Headlines / Kunwoo Park, Taegyun Kim, Seunghyun Yoon, Meeyoung Cha, and Kyomin Jung, 229
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, and Nitin Agarwal, 253
Blockchain Technology-Based Solutions to Fight Misinformation: A Survey / Karen Watts DiCicco and Nitin Agarwal, 267