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Fake News Detection on Social Media: A Data Mining Perspective

Authors:

Huan LiuAuthors Info & Claims

ACM SIGKDD Explorations Newsletter, Volume 19, Issue 1

Pages 22 - 36

https://doi.org/10.1145/3137597.3137600

Published: 01 September 2017 Publication History

Abstract

Social media for news consumption is a double-edged sword. On the one hand, its low cost, easy access, and rapid dissemination of information lead people to seek out and consume news from social media. On the other hand, it enables the wide spread of \fake news", i.e., low quality news with intentionally false information. The extensive spread of fake news has the potential for extremely negative impacts on individuals and society. Therefore, fake news detection on social media has recently become an emerging research that is attracting tremendous attention. Fake news detection on social media presents unique characteristics and challenges that make existing detection algorithms from traditional news media ine ective or not applicable. First, fake news is intentionally written to mislead readers to believe false information, which makes it difficult and nontrivial to detect based on news content; therefore, we need to include auxiliary information, such as user social engagements on social media, to help make a determination. Second, exploiting this auxiliary information is challenging in and of itself as users' social engagements with fake news produce data that is big, incomplete, unstructured, and noisy. Because the issue of fake news detection on social media is both challenging and relevant, we conducted this survey to further facilitate research on the problem. In this survey, we present a comprehensive review of detecting fake news on social media, including fake news characterizations on psychology and social theories, existing algorithms from a data mining perspective, evaluation metrics and representative datasets. We also discuss related research areas, open problems, and future research directions for fake news detection on social media.

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Kulaksız İCoşkunçay A(2025)Fake News Detection on Mainstream Media Using Natural Language ProcessingBlack Sea Journal of Engineering and Science10.34248/bsengineering.15275518:1(214-224)Online publication date: 15-Jan-2025
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Published In

cover image ACM SIGKDD Explorations Newsletter

ACM SIGKDD Explorations Newsletter Volume 19, Issue 1

June 2017

59 pages

ISSN:1931-0145

EISSN:1931-0153

DOI:10.1145/3137597

Editors:
Charu Aggarwal
IBM T.J. Watson
,
Haixun Wang
Google
,
Ankur Teredesai
University of Washington Tacoma
,
Hanghang Tong
Arizona State University

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Copyright © 2017 Authors.

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Published: 01 September 2017

Published in SIGKDD Volume 19, Issue 1

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https://doi.org/10.34248/bsengineering.1527551
Taxitari LSitistas TGavriil E(2025)“Disinformation Aims to Mislead; Misinformation Thrives in Ignorance”: Insights from Experts and Non-Experts in Greek-Speaking CyprusSocial Sciences10.3390/socsci1403013314:3(133)Online publication date: 24-Feb-2025
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Toor MShahbaz HYasin MAli AFitriyani NKim CSyafrudin M(2025)An Optimized Weighted-Voting-Based Ensemble Learning Approach for Fake News ClassificationMathematics10.3390/math1303044913:3(449)Online publication date: 28-Jan-2025
https://doi.org/10.3390/math13030449
García-Faroldi LTeruel LBlanco S(2025)Unmasking AI’s Role in the Age of Disinformation: Friend or Foe?Journalism and Media10.3390/journalmedia60100196:1(19)Online publication date: 2-Feb-2025
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Roumeliotis KTselikas NNasiopoulos D(2025)Fake News Detection and Classification: A Comparative Study of Convolutional Neural Networks, Large Language Models, and Natural Language Processing ModelsFuture Internet10.3390/fi1701002817:1(28)Online publication date: 9-Jan-2025
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Mu GJu XYan HLi JGao HLi X(2025)An Enhanced Misinformation Detection Model Based on an Improved Beluga Whale Optimization Algorithm and Cross-Modal Feature FusionBiomimetics10.3390/biomimetics1003012810:3(128)Online publication date: 20-Feb-2025
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Tan MBakır H(2025)Fake News Detection Using BERT and Bi-LSTM with Grid Search Hyperparameter OptimizationBilişim Teknolojileri Dergisi10.17671/gazibtd.152152018:1(11-28)Online publication date: 31-Jan-2025
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Kim JLee JIn YYoon KPark CNejdl WAuer SKarras OCha MMoens MNajork M(2025)Revisiting Fake News Detection: Towards Temporality-aware Evaluation by Leveraging Engagement EarlinessProceedings of the Eighteenth ACM International Conference on Web Search and Data Mining10.1145/3701551.3703524(559-567)Online publication date: 10-Mar-2025
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