survey

Combating Fake News: A Survey on Identification and Mitigation Techniques

Authors:

Karishma Sharma,

Natali Ruchansky,

Yan LiuAuthors Info & Claims

ACM Transactions on Intelligent Systems and Technology (TIST), Volume 10, Issue 3

Article No.: 21, Pages 1 - 42

https://doi.org/10.1145/3305260

Published: 12 April 2019 Publication History

Abstract

The proliferation of fake news on social media has opened up new directions of research for timely identification and containment of fake news and mitigation of its widespread impact on public opinion. While much of the earlier research was focused on identification of fake news based on its contents or by exploiting users’ engagements with the news on social media, there has been a rising interest in proactive intervention strategies to counter the spread of misinformation and its impact on society. In this survey, we describe the modern-day problem of fake news and, in particular, highlight the technical challenges associated with it. We discuss existing methods and techniques applicable to both identification and mitigation, with a focus on the significant advances in each method and their advantages and limitations. In addition, research has often been limited by the quality of existing datasets and their specific application contexts. To alleviate this problem, we comprehensively compile and summarize characteristic features of available datasets. Furthermore, we outline new directions of research to facilitate future development of effective and interdisciplinary solutions.

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Pillai SHu W(2024)Mobile Text Misinformation Identification Using Machine LearningEmerging Technologies and Security in Cloud Computing10.4018/979-8-3693-2081-5.ch010(236-251)Online publication date: 14-Feb-2024
https://doi.org/10.4018/979-8-3693-2081-5.ch010
Ho KYe S(2024)Factors Affecting the Formation of False Health Information and the Role of Social Media Literacy in Reducing Its EffectsInformation10.3390/info1502011615:2(116)Online publication date: 17-Feb-2024
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Alnabhan MBranco P(2024)BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance MitigationBig Data and Cognitive Computing10.3390/bdcc80800938:8(93)Online publication date: 16-Aug-2024
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Index Terms

Combating Fake News: A Survey on Identification and Mitigation Techniques
1. Computing methodologies
  1. Machine learning
2. Information systems
  1. Information systems applications
    1. Collaborative and social computing systems and tools
      1. Social networking sites
    2. Data mining

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Published In

cover image ACM Transactions on Intelligent Systems and Technology

ACM Transactions on Intelligent Systems and Technology Volume 10, Issue 3

Survey Paper, Research Commentary and Regular Papers

May 2019

302 pages

ISSN:2157-6904

EISSN:2157-6912

DOI:10.1145/3325195

Editor:
Yu Zheng
JD Finance, China

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Copyright © 2019 ACM.

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Publication History

Published: 12 April 2019

Accepted: 01 December 2018

Revised: 01 December 2018

Received: 01 July 2018

Published in TIST Volume 10, Issue 3

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Cited By

Pillai SHu W(2024)Mobile Text Misinformation Identification Using Machine LearningEmerging Technologies and Security in Cloud Computing10.4018/979-8-3693-2081-5.ch010(236-251)Online publication date: 14-Feb-2024
https://doi.org/10.4018/979-8-3693-2081-5.ch010
Ho KYe S(2024)Factors Affecting the Formation of False Health Information and the Role of Social Media Literacy in Reducing Its EffectsInformation10.3390/info1502011615:2(116)Online publication date: 17-Feb-2024
https://doi.org/10.3390/info15020116
Alnabhan MBranco P(2024)BERTGuard: Two-Tiered Multi-Domain Fake News Detection with Class Imbalance MitigationBig Data and Cognitive Computing10.3390/bdcc80800938:8(93)Online publication date: 16-Aug-2024
https://doi.org/10.3390/bdcc8080093
Puri PHassler GKatragadda SShenk A(2024)Digital cloning of online social networks for language-sensitive agent-based modeling of misinformation spreadPLOS ONE10.1371/journal.pone.030488919:6(e0304889)Online publication date: 21-Jun-2024
https://doi.org/10.1371/journal.pone.0304889
Munn L(2024)Misinformation’s missing humanMedia, Culture & Society10.1177/0163443724124916446:6(1287-1298)Online publication date: 28-Apr-2024
https://doi.org/10.1177/01634437241249164
Cavalcante ASouza Freire PGoldschmidt RJustel C(2024)Improving Implicit Crowd Signals Based Fake News Detection on Social Media: A Time-Aware Method for Early DetectionProceedings of the 20th Brazilian Symposium on Information Systems10.1145/3658271.3658278(1-9)Online publication date: 20-May-2024
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Agarwal KKavitha V(2024)Robust fake-post detection against real-coloring adversariesACM SIGMETRICS Performance Evaluation Review10.1145/3649477.364949451:4(30-31)Online publication date: 23-Feb-2024
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Heuer HGlassman E(2024)Reliability Criteria for News WebsitesACM Transactions on Computer-Human Interaction10.1145/363514731:2(1-33)Online publication date: 29-Jan-2024
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Huang KYang XYang LZhu YLi G(2024)Mitigating the Impact of a False Message Through Sequential Release of Clarifying MessagesIEEE Transactions on Network Science and Engineering10.1109/TNSE.2023.333133311:2(1785-1798)Online publication date: Mar-2024
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