Misinformation in Social Media: Definition, Manipulation, and Detection

By Liang Wu, Fred Morstatter, Kathleen M. Carley, Huan Liu. SKDD, 2019

410 citations recorded by the source corpus.

The widespread dissemination of misinformation in social media has recently received a lot of attention in academia. While the problem of misinformation in social media has been intensively studied, there are seemingly different definitions for the same problem, and inconsistent results in different studies. In this survey, we aim to consolidate the observations, and investigate how an optimal method can be selected given specific conditions and contexts. To this end, we first introduce a definition for misinformation in social media and we examine the difference between misinformation detection and classic supervised learning. Second, we describe the diffusion of misinformation and introduce how spreaders propagate misinformation in social networks. Third, we explain characteristics of individual methods of misinformation detection, and provide commentary on their advantages and pitfalls. By reflecting applicability of different methods, we hope to enable the intensive research in this area to be conveniently reused in real-world applications and open up potential directions for future studies.

Subfields: Computer Networks and Communications, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/f2d965de233c26c5214742adff4a49a9b5eee503

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In Information Systems

  1. Sabrine Amri
  2. Esma Aïmeur
  3. Gilles Brassard

In Sociology and Political Science

  1. Sabrine Amri
  2. Esma Aïmeur
  3. Gilles Brassard

Citations in the corpus