research-article

Privacy Leakage in Event-based Social Networks: A Meetup Case Study

Authors:

Taejoong Chung,

Ted Taekyoung Kwon,

Hyunchul KimAuthors Info & Claims

Proceedings of the ACM on Human-Computer Interaction, Volume 1, Issue CSCW

Article No.: 35, Pages 1 - 22

https://doi.org/10.1145/3134670

Published: 06 December 2017 Publication History

Abstract

Event-based social networks (EBSNs) are increasingly popular since they provide platforms on which online and offline activities are combined. Despite the increasing interest in EBSNs, little research has paid attention to the privacy issues coming from the unique features of EBSNs; the on-site information of users is highly relevant to real lives. In this paper, we try to investigate privacy leakages in Meetup, one of the most popular EBSN service. More specifically, we answer what private information can be inferred from the site's publicly available data. To this end, we conduct a measurement study by crawling webpages from Meetup containing 240K groups, 8.9M users, 27M group affiliations and 78M topical interests. By analyzing the dataset, we find that LGBT status of users, which is one of the most sensitive privacy information, can be predicted with 93% accuracy. Finally we discuss the cause of the privacy leakage on EBSNs and its possible ensuing damages.

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Cited By

Sannon SForte A(2022)Privacy Research with Marginalized GroupsProceedings of the ACM on Human-Computer Interaction10.1145/35555566:CSCW2(1-33)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555556
Warford NMatthews TYang KAkgul OConsolvo SKelley PMalkin NMazurek MSleeper MThomas K(2022)SoK: A Framework for Unifying At-Risk User Research2022 IEEE Symposium on Security and Privacy (SP)10.1109/SP46214.2022.9833643(2344-2360)Online publication date: May-2022
https://doi.org/10.1109/SP46214.2022.9833643
Zhang XCao GZhang XCao G(2021)Related WorkEvent Attendance Prediction in Social Networks10.1007/978-3-030-89262-3_2(5-10)Online publication date: 24-Sep-2021
https://doi.org/10.1007/978-3-030-89262-3_2
Show More Cited By

Index Terms

Privacy Leakage in Event-based Social Networks: A Meetup Case Study

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cover image Proceedings of the ACM on Human-Computer Interaction

Proceedings of the ACM on Human-Computer Interaction Volume 1, Issue CSCW

November 2017

2095 pages

EISSN:2573-0142

DOI:10.1145/3171581

Editors:
Clifford Lampe
University of Michigan
,
Jeff Nichols
Google
,
Karrie Karahalios
University of Illinois Urbana-Champaign
,
Geraldine Fitzpatrick
Vienna University of Technology
,
Uichin Lee
KAIST
,
Andres Monroy-Hernandez
Snap Inc.
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Wolfgang Stuerzlinger
Simon Fraser University

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Copyright © 2017 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 06 December 2017

Published in PACMHCI Volume 1, Issue CSCW

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Cited By

Sannon SForte A(2022)Privacy Research with Marginalized GroupsProceedings of the ACM on Human-Computer Interaction10.1145/35555566:CSCW2(1-33)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555556
Warford NMatthews TYang KAkgul OConsolvo SKelley PMalkin NMazurek MSleeper MThomas K(2022)SoK: A Framework for Unifying At-Risk User Research2022 IEEE Symposium on Security and Privacy (SP)10.1109/SP46214.2022.9833643(2344-2360)Online publication date: May-2022
https://doi.org/10.1109/SP46214.2022.9833643
Zhang XCao GZhang XCao G(2021)Related WorkEvent Attendance Prediction in Social Networks10.1007/978-3-030-89262-3_2(5-10)Online publication date: 24-Sep-2021
https://doi.org/10.1007/978-3-030-89262-3_2
Mittal MAsghar MTripathi A(2020)Do My Emotions Influence What I Share? Analysing the Effects of Emotions on Privacy Leakage in Twitter2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)10.1109/TrustCom50675.2020.00165(1228-1235)Online publication date: Dec-2020
https://doi.org/10.1109/TrustCom50675.2020.00165

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