survey

Open access

A Survey on Privacy in Social Media: Identification, Mitigation, and Applications

Authors:

Ghazaleh Beigi,

Huan LiuAuthors Info & Claims

ACM Transactions on Data Science, Volume 1, Issue 1

Article No.: 7, Pages 1 - 38

https://doi.org/10.1145/3343038

Published: 12 March 2020 Publication History

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Abstract

The increasing popularity of social media has attracted a huge number of people to participate in numerous activities on a daily basis. This results in tremendous amounts of rich user-generated data. These data provide opportunities for researchers and service providers to study and better understand users’ behaviors and further improve the quality of the personalized services. Publishing user-generated data risks exposing individuals’ privacy. Users privacy in social media is an emerging research area and has attracted increasing attention recently. These works study privacy issues in social media from the two different points of views: identification of vulnerabilities and mitigation of privacy risks. Recent research has shown the vulnerability of user-generated data against the two general types of attacks, identity disclosure and attribute disclosure. These privacy issues mandate social media data publishers to protect users’ privacy by sanitizing user-generated data before publishing it. Consequently, various protection techniques have been proposed to anonymize user-generated social media data. There is vast literature on privacy of users in social media from many perspectives. In this survey, we review the key achievements of user privacy in social media. In particular, we review and compare the state-of-the-art algorithms in terms of the privacy leakage attacks and anonymization algorithms. We overview the privacy risks from different aspects of social media and categorize the relevant works into five groups: (1) social graphs and privacy, (2) authors in social media and privacy, (3) profile attributes and privacy, (4) location and privacy, and (5) recommendation systems and privacy. We also discuss open problems and future research directions regarding user privacy issues in social media.

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Index Terms

A Survey on Privacy in Social Media: Identification, Mitigation, and Applications
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Social networks
2. Security and privacy

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cover image ACM/IMS Transactions on Data Science

ACM/IMS Transactions on Data Science Volume 1, Issue 1

February 2020

159 pages

ISSN:2691-1922

DOI:10.1145/3388324

Editor:
Beng Chin Ooi
National University of Singapore, Singapore

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Published: 12 March 2020

Accepted: 01 April 2019

Revised: 01 January 2019

Received: 01 July 2018

Published in TDS Volume 1, Issue 1

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https://dl.acm.org/doi/10.1145/3644077
Yoo DWoo HNguyen VBirnbaum MKruzan KKim JAbowd GDe Choudhury M(2024)Patient Perspectives on AI-Driven Predictions of Schizophrenia Relapses: Understanding Concerns and Opportunities for Self-Care and TreatmentProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642369(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642369
Zhang JSi KZeng ZLi TYe X(2024)IEA-DP: Information Entropy-driven Adaptive Differential Privacy Protection Scheme for social networksThe Journal of Supercomputing10.1007/s11227-024-06202-w80:14(20546-20582)Online publication date: 3-Jun-2024
https://dl.acm.org/doi/10.1007/s11227-024-06202-w
Müllner PLex ESchedl MKowald D(2024)The Impact of Differential Privacy on Recommendation Accuracy and Popularity BiasAdvances in Information Retrieval10.1007/978-3-031-56066-8_33(466-482)Online publication date: 24-Mar-2024
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He MHu S(2023)A Normative Approach to Privacy-Preserving Recommender SystemsInternational Journal of Intelligent Systems10.1155/2023/29595032023Online publication date: 1-Jan-2023
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Shetty NMuniyal BDokania ADatta SGandluri MMaben LPriyanshu A(2023)Guarding Your Social CircleSecurity and Communication Networks10.1155/2023/25489622023Online publication date: 1-Jan-2023
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Imana BKorolova AHeidemann J(2023)Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public InterestProceedings of the ACM on Human-Computer Interaction10.1145/35796107:CSCW1(1-33)Online publication date: 16-Apr-2023
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Li YPurcell MRakotoarivelo TSmith DRanbaduge TNg K(2023)Private Graph Data Release: A SurveyACM Computing Surveys10.1145/356908555:11(1-39)Online publication date: 22-Feb-2023
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Li BQi PLiu BDi SLiu JPei JYi JZhou B(2023)Trustworthy AI: From Principles to PracticesACM Computing Surveys10.1145/355580355:9(1-46)Online publication date: 16-Jan-2023
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Müllner P(2023)User Privacy in Recommender SystemsAdvances in Information Retrieval10.1007/978-3-031-28241-6_52(456-461)Online publication date: 2-Apr-2023
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