short-paper

Short paper: "here i am, now pay me!": privacy concerns in incentivised location-sharing systems

Authors:

Tristan Henderson,

Apu KapadiaAuthors Info & Claims

WiSec '14: Proceedings of the 2014 ACM conference on Security and privacy in wireless & mobile networks

Pages 81 - 86

https://doi.org/10.1145/2627393.2627416

Published: 23 July 2014 Publication History

Abstract

Social network sites, location-sharing services and, more recently, applications enabling the quantified self, mean that people are generating and sharing more data than ever before. It is important to understand the potential privacy impacts when such personal data are commercialised, to ensure that expectations of privacy are preserved. This paper presents the first user study of incentivised location sharing, where people are given a direct monetary incentive to share their location with a business or their social network. We use Nissenbaum's framework of contextual integrity in a preliminary user study (n=22) to investigate potential privacy risks with such services. We find that monetisation changes why people share their data, but not the frequency of disclosures. Our results motivate further study and are useful for designers of location-sharing systems and researchers who wish to leverage the diverse range of personal data that are available in a privacy-sensitive manner.

References

[1]

D. Anthony, T. Henderson, and D. Kotz. Privacy in location-aware computing environments. IEEE Pervasive Computing, 6(4):64--72, Oct. 2007.

Digital Library

[2]

C. Aperjis and B. A. Huberman. A market for unbiased private data: Paying individuals according to their privacy attitudes. First Monday, 17(5--7), May 2012.

[3]

L. Barkhuus. The mismeasurement of privacy: using contextual integrity to reconsider privacy in HCI. In Proc. CHI, pages 367--376, May 2012.

Digital Library

[4]

H. Cramer, M. Rost, and L. E. Holmquist. Performing a check-in: emerging practices, norms and "conflicts" in location-sharing using foursquare. In Proc. MobileHCI, pages 57--66, Aug. 2011.

Digital Library

[5]

F. S. Grodzinsky and H. T. Tavani. Privacy in "the cloud": applying Nissenbaum's theory of contextual integrity. ACM SIGCAS Computers and Society, 41(1):38--47, Oct. 2011.

Digital Library

[6]

J. Grossklags and A. Acquisti. When 25 Cents is too much: An Experiment on Willingness-To-Sell and Willingness-To-Protect Personal Information. In Proc. WEIS, 2007. Online at http://weis2007.econinfosec.org/papers/66.pdf.

[7]

J. M. Hektner, J. A. Schmidt, and M. Csikszentmihalyi. Experience sampling method: measuring the quality of everyday life. SAGE Publications, Thousand Oaks, CA, USA, 2007.

[8]

L. Hutton and T. Henderson. An architecture for ethical and privacy-sensitive social network experiments. SIGMETRICS Perform. Eval. Rev., 40(4):90--95, Apr. 2013.

Digital Library

[9]

E. A. Jones and J. W. Janes. Anonymity in a world of digital books: Google Books, privacy, and the freedom to read. Policy & Internet, 2(4):42--74, Jan. 2010.

[10]

P. G. Kelley, M. Benisch, L. F. Cranor, and N. Sadeh. When are users comfortable sharing locations with advertisers? In Proc. CHI, pages 2449--2452, May 2011.

Digital Library

[11]

J. Lindqvist, J. Cranshaw, J. Wiese, J. Hong, and J. Zimmerman. I'm the mayor of my house: examining why people use foursquare - a social-driven location sharing application. In Proc. CHI, pages 2409--2418, May 2011.

Digital Library

[12]

H. R. Lipford, G. Hull, C. Latulipe, A. Besmer, and J. Watson. Visible flows: Contextual integrity and the design of privacy mechanisms on social network sites. In Proc. CSE, volume 4, pages 985--989, Aug. 2009.

Digital Library

[13]

N. K. Malhotra, S. S. Kim, and J. Agarwal. Internet users' information privacy concerns (IUIPC): The construct, the scale, and a causal model. Information Systems Research, 15(4):336--355, Dec. 2004.

Digital Library

[14]

A. M. McDonald and L. F. Cranor. The cost of reading privacy policies. I/S: A Journal of Law and Pol- icy for the Information Society, 4(3):540--565, 2008. Online at http://www.is-journal.org/files/2012/02/Cranor_Formatted_Final.pdf.

[15]

C. C. Miller. Take a step closer for an invitation to shop. New York Times, page B4, Feb. 23 2010. Online at http://www.nytimes.com/2010/02/23/business/media/23adco.html.

[16]

H. Nissenbaum. Privacy in Context: Technology, Policy, and the Integrity of Social Life. Stanford Law Books, Stanford, CA, USA, 2009.

Digital Library

[17]

X. Page, B. P. Knijnenburg, and A. Kobsa. What a tangled web we weave: lying backfires in location-sharing social media. In Proc. CSCW, pages 273--284, 2013.

Digital Library

[18]

S. Patil, G. Norcie, A. Kapadia, and A. J. Lee. Reasons, rewards, regrets: privacy considerations in location sharing as an interactive practice. In Proc. Eighth Symposium on Usable Privacy and Security, July 2012.

Digital Library

[19]

M. Rost, L. Barkhuus, H. Cramer, and B. Brown. Representation and Communication: Challenges in Interpreting Large Social Media Datasets. In Proc. CSCW, pages 357--362, 2013.

Digital Library

[20]

R. Schlegel, A. Kapadia, and A. J. Lee. Eyeing your exposure: quantifying and controlling information sharing for improved privacy. In Proc. SOUPS, 2011.

Digital Library

[21]

P. Shi, H. Xu, and Y. Chen. Using contextual integrity to examine interpersonal information boundary on social network sites. In Proc. CHI, pages 35--38, 2013.

Digital Library

[22]

E. D. Spiegler, C. Hildebrand, and F. Michahelles. Social networks in pervasive advertising and shopping. In J. Müller, F. Alt, and D. Michelis, editors, Pervasive Advertising, chapter 10, pages 207--225. Springer, London, UK, 2011.

[23]

K. P. Tang, J. Lin, J. I. Hong, D. P. Siewiorek, and N. Sadeh. Rethinking location sharing: exploring the implications of social-driven vs. purpose-driven location sharing. In Proc. Ubicomp, pages 85--94, Sept. 2010.

Digital Library

[24]

E. Toch, J. Cranshaw, P. H. Drielsma, J. Y. Tsai, P. G. Kelley, J. Springfield, L. Cranor, J. Hong, and N. Sadeh. Empirical models of privacy in location sharing. In Proc. 12th ACMinternational conference on Ubiquitous computing, pages 129--138, Sept. 2010.

Digital Library

[25]

J. Y. Tsai, P. Kelley, P. Drielsma, L. F. Cranor, J. Hong, and N. Sadeh. Who's viewed you?: The impact of feedback in a mobile location-sharing application. In Proc. CHI, pages 2003--2012, Apr. 2009.

Digital Library

[26]

R. Unni and R. Harmon. Perceived effectiveness of push vs. pull mobile location based advertising. Journal of Interactive Advertising, 7(2):28--40, 2007.

[27]

B. Ur, P. G. Leon, L. F. Cranor, R. Shay, and Y. Wang. Smart, useful, scary, creepy: perceptions of online behavioral advertising. In Proc. SOUPS, July 2012.

Digital Library

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Loh PBershteyn AYee S(2022)Lessons Learned in Piloting a Digital Personalized COVID-19 “Radar” on a University CampusPublic Health Reports®10.1177/00333549221112532137:2_suppl(76S-82S)Online publication date: 21-Jul-2022
https://doi.org/10.1177/00333549221112532
Bandy JHecht B(2021)Errors in Geotargeted Display AdvertisingProceedings of the ACM on Human-Computer Interaction10.1145/34491665:CSCW1(1-19)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449166
Raber FKrüger A(2021)Transferring recommendations through privacy user models across domainsUser Modeling and User-Adapted Interaction10.1007/s11257-021-09307-632:1-2(25-90)Online publication date: 8-Nov-2021
https://doi.org/10.1007/s11257-021-09307-6
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Index Terms

Short paper: "here i am, now pay me!": privacy concerns in incentivised location-sharing systems
1. Human-centered computing
  1. Human computer interaction (HCI)

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Published In

cover image ACM Conferences

WiSec '14: Proceedings of the 2014 ACM conference on Security and privacy in wireless & mobile networks

July 2014

246 pages

ISBN:9781450329729

DOI:10.1145/2627393

Conference Chair:
Gergely Acs
Inria, France
,
General Chairs:
Andrew Martin
Oxford University, UK
,
Ivan Martinovic
Oxford University, UK
,
Program Chairs:
Claude Castelluccia
Inria, France
,
Patrick Traynor
University of Florida, USA

Copyright © 2014 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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SIGSAC: ACM Special Interest Group on Security, Audit, and Control

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SIGMOBILE: ACM Special Interest Group on Mobility of Systems, Users, Data and Computing

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 23 July 2014

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SIGSAC

WiSec'14: 7th ACM Conference on Security & Privacy in Wireless and Mobile Networks

July 23 - 25, 2014

Oxford, United Kingdom

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WiSec '14 Paper Acceptance Rate 25 of 96 submissions, 26%;

Overall Acceptance Rate 98 of 338 submissions, 29%

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Cited By

Loh PBershteyn AYee S(2022)Lessons Learned in Piloting a Digital Personalized COVID-19 “Radar” on a University CampusPublic Health Reports®10.1177/00333549221112532137:2_suppl(76S-82S)Online publication date: 21-Jul-2022
https://doi.org/10.1177/00333549221112532
Bandy JHecht B(2021)Errors in Geotargeted Display AdvertisingProceedings of the ACM on Human-Computer Interaction10.1145/34491665:CSCW1(1-19)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449166
Raber FKrüger A(2021)Transferring recommendations through privacy user models across domainsUser Modeling and User-Adapted Interaction10.1007/s11257-021-09307-632:1-2(25-90)Online publication date: 8-Nov-2021
https://doi.org/10.1007/s11257-021-09307-6
Henriksen-Bulmer JFaily SJeary S(2020)DPIA in Context: Applying DPIA to Assess Privacy Risks of Cyber Physical SystemsFuture Internet10.3390/fi1205009312:5(93)Online publication date: 24-May-2020
https://doi.org/10.3390/fi12050093
Epstein DCaldeira CFigueiredo MLu XSilva LWilliams LLee JLi QAhuja SChen QDowlatyari PHilby CSultana SEikey EChen Y(2020)Mapping and Taking Stock of the Personal Informatics LiteratureProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34322314:4(1-38)Online publication date: 18-Dec-2020
https://dl.acm.org/doi/10.1145/3432231
Pang CPan RNeustaedter CHennessy KBrewster SFitzpatrick GCox AKostakos V(2019)City ExplorerProceedings of the 2019 CHI Conference on Human Factors in Computing Systems10.1145/3290605.3300571(1-15)Online publication date: 2-May-2019
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Miazi NCastro CShehab M(2018)Mobile Users as AdvertisersProceedings of the 17th International Conference on Mobile and Ubiquitous Multimedia10.1145/3282894.3282929(253-264)Online publication date: 25-Nov-2018
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Raber FKruger A(2018)Deriving Privacy Settings for Location Sharing: Are Context Factors Always the Best Choice?2018 IEEE Symposium on Privacy-Aware Computing (PAC)10.1109/PAC.2018.00015(86-94)Online publication date: Sep-2018
https://doi.org/10.1109/PAC.2018.00015
Hutton LHenderson TZevenbergen B(2015)Some Challenges for Ethics in Social Network ResearchProceedings of the 2015 ACM SIGCOMM Workshop on Ethics in Networked Systems Research10.1145/2793013.2793023(13-15)Online publication date: 21-Aug-2015
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Xu HZhou YGao CKang YLyu M(2015)SpyAwareProceedings of the 2015 IEEE 26th International Symposium on Software Reliability Engineering (ISSRE)10.1109/ISSRE.2015.7381828(348-358)Online publication date: 2-Nov-2015
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