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LocBorg: Hiding Social Media User Location while Maintaining Online Persona

Authors:

Victor Zakhary,

Theodore Georgiou,

Amr El AbbadiAuthors Info & Claims

SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

Article No.: 12, Pages 1 - 4

https://doi.org/10.1145/3139958.3140057

Published: 07 November 2017 Publication History

Abstract

Social media streams analysis can reveal the characteristics of people who engage with or write about different topics. Recent works show that it is possible to reveal sensitive attributes (e.g., location, gender, ethnicity, political views, etc.) of individuals by analyzing their social media streams. Although, the prediction of a user's sensitive attributes can be used to enhance the user experience in social media, revealing some attributes like the location could represent a threat on individuals. Users can obfuscate their location by posting about random topics linked to different locations. However, posting about random and sometimes contradictory topics that are not aligned with a user's online persona and posts could negatively affect the followers interested in her profile. This paper represents our vision about the future of user privacy on social media. Users can locally deploy a cyborg, an artificial intelligent system that helps people to defend their privacy on social media. We propose LocBorg, a location privacy preserving cyborg that protects users by obfuscating their location while maintaining their online persona. LocBorg analyzes the social media streams and recommends topics to write about that are similar to a user's topics of interest and aligned with the user's online persona but linked to other locations.

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Cited By

Suh JMetzger M(2022)Privacy Beyond the Individual LevelModern Socio-Technical Perspectives on Privacy10.1007/978-3-030-82786-1_6(91-109)Online publication date: 9-Feb-2022
https://doi.org/10.1007/978-3-030-82786-1_6
Hojati MFarmer CFeick RRobertson C(2021)Decentralized geoprivacy: leveraging social trust on the distributed webInternational Journal of Geographical Information Science10.1080/13658816.2021.1931236(1-27)Online publication date: 4-Jun-2021
https://doi.org/10.1080/13658816.2021.1931236
Zakhary VGupta ITang REl Abbadi A(2020)Multifaceted PrivacyProceedings of the 28th International Conference on Advances in Geographic Information Systems10.1145/3397536.3422253(429-432)Online publication date: 3-Nov-2020
https://dl.acm.org/doi/10.1145/3397536.3422253
Show More Cited By

Index Terms

LocBorg: Hiding Social Media User Location while Maintaining Online Persona
1. Security and privacy
  1. Human and societal aspects of security and privacy
    1. Social aspects of security and privacy

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cover image ACM Conferences

SIGSPATIAL '17: Proceedings of the 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 2017

677 pages

ISBN:9781450354905

DOI:10.1145/3139958

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 ACM 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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SIGSPATIAL: ACM Special Interest Group on Spatial Information

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 November 2017

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Short-paper
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Refereed limited

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National Science Foundation

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SIGSPATIAL'17

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SIGSPATIAL

SIGSPATIAL'17: 25th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems

November 7 - 10, 2017

CA, Redondo Beach, USA

Acceptance Rates

SIGSPATIAL '17 Paper Acceptance Rate 39 of 193 submissions, 20%;

Overall Acceptance Rate 257 of 1,238 submissions, 21%

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Cited By

Suh JMetzger M(2022)Privacy Beyond the Individual LevelModern Socio-Technical Perspectives on Privacy10.1007/978-3-030-82786-1_6(91-109)Online publication date: 9-Feb-2022
https://doi.org/10.1007/978-3-030-82786-1_6
Hojati MFarmer CFeick RRobertson C(2021)Decentralized geoprivacy: leveraging social trust on the distributed webInternational Journal of Geographical Information Science10.1080/13658816.2021.1931236(1-27)Online publication date: 4-Jun-2021
https://doi.org/10.1080/13658816.2021.1931236
Zakhary VGupta ITang REl Abbadi A(2020)Multifaceted PrivacyProceedings of the 28th International Conference on Advances in Geographic Information Systems10.1145/3397536.3422253(429-432)Online publication date: 3-Nov-2020
https://dl.acm.org/doi/10.1145/3397536.3422253
Kounadi OResch BPetutschnig A(2018)Privacy Threats and Protection Recommendations for the Use of Geosocial Network Data in ResearchSocial Sciences10.3390/socsci71001917:10(191)Online publication date: 11-Oct-2018
https://doi.org/10.3390/socsci7100191
Suh JMetzger MReid SEl Abbadi A(2018)Distinguishing Group Privacy From Personal PrivacyProceedings of the ACM on Human-Computer Interaction10.1145/32744372:CSCW(1-22)Online publication date: 1-Nov-2018
https://dl.acm.org/doi/10.1145/3274437
Ataei MDegbelo AKray C(2018)Privacy theory in practice: designing a user interface for managing location privacy on mobile devicesJournal of Location Based Services10.1080/17489725.2018.1511839(1-38)Online publication date: 13-Sep-2018
https://doi.org/10.1080/17489725.2018.1511839

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