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Social Network Analysis and Mining
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01-12-2020 | Review Article

A systematic mapping on automatic classification of fake news in social media

Authors: João Victor de Souza, Jorão Gomes Jr., Fernando Marques de Souza Filho, Alessandreia Marta de Oliveira Julio, Jairo Francisco de Souza

Published in: Social Network Analysis and Mining | Issue 1/2020

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Abstract

Social media has become the primary source for rumor spreading, and information quality is an increasingly important issue in this context. In the last years, many researchers have been working on methods to improve the rumor classification, especially on the identification of fake news in social media, with good results. However, due to the complexity of natural language, this task presents difficult challenges, and many research opportunities. This survey analyzes 87 distinct publications, which were systematically selected out of 1333 candidates. This work covers eight years of research on fake news applied in social media and presents the main methods, text and user features, and datasets used in literature.
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Appendix
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Footnotes
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Data are available only upon request to the author.
 
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Metadata
Title
A systematic mapping on automatic classification of fake news in social media
Authors
João Victor de Souza
Jorão Gomes Jr.
Fernando Marques de Souza Filho
Alessandreia Marta de Oliveira Julio
Jairo Francisco de Souza
Publication date
01-12-2020
Publisher
Springer Vienna
Published in
Social Network Analysis and Mining / Issue 1/2020
Print ISSN: 1869-5450
Electronic ISSN: 1869-5469
DOI
https://doi.org/10.1007/s13278-020-00659-2

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