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A Privacy Assessment of Social Media Aggregators

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A Privacy Assessment of Social Media Aggregators. / Misra, Gaurav; Such, Jose M.; Gill, Lauren.
ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. New York: ACM, 2017. p. 561-568.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Misra, G, Such, JM & Gill, L 2017, A Privacy Assessment of Social Media Aggregators. in ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. ACM, New York, pp. 561-568. https://doi.org/10.1145/3110025.3110103

APA

Misra, G., Such, J. M., & Gill, L. (2017). A Privacy Assessment of Social Media Aggregators. In ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017 (pp. 561-568). ACM. https://doi.org/10.1145/3110025.3110103

Vancouver

Misra G, Such JM, Gill L. A Privacy Assessment of Social Media Aggregators. In ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. New York: ACM. 2017. p. 561-568 doi: 10.1145/3110025.3110103

Author

Misra, Gaurav ; Such, Jose M. ; Gill, Lauren. / A Privacy Assessment of Social Media Aggregators. ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017. New York : ACM, 2017. pp. 561-568

Bibtex

@inproceedings{8fe2cd244c0b4192a1565f5a004abe96,
title = "A Privacy Assessment of Social Media Aggregators",
abstract = "Social Media Aggregator (SMA) applications present a platform enabling users to manage multiple Social Networking Sites (SNS) in one convenient application, which results in a unique concentration of data from several SNS accounts in addition to the user{\textquoteright}s mobile phone data available to them. In this paper, we provide a detailed privacy assessment of 13 popularSMAs from 3 app stores by using a three-step methodology by inspecting the mobile data and social media data accessed by these applications, checking for privacy policies and theircompliance with distributors{\textquoteright} vetting policies and performing a qualitative assessment of traceability between privacy policies and the actual transparency and control mechanisms offeredto users by the apps{\textquoteright} interfaces. Our results demonstrate a variation in data accessed by the individual applications, an absence of privacy policies for 5 of the SMAs evaluated, and alack of traceability between privacy policies and transparency and control of interface operations.",
author = "Gaurav Misra and Such, {Jose M.} and Lauren Gill",
year = "2017",
month = aug,
day = "3",
doi = "10.1145/3110025.3110103",
language = "English",
isbn = "9781450349932",
pages = "561--568",
booktitle = "ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017",
publisher = "ACM",

}

RIS

TY - GEN

T1 - A Privacy Assessment of Social Media Aggregators

AU - Misra, Gaurav

AU - Such, Jose M.

AU - Gill, Lauren

PY - 2017/8/3

Y1 - 2017/8/3

N2 - Social Media Aggregator (SMA) applications present a platform enabling users to manage multiple Social Networking Sites (SNS) in one convenient application, which results in a unique concentration of data from several SNS accounts in addition to the user’s mobile phone data available to them. In this paper, we provide a detailed privacy assessment of 13 popularSMAs from 3 app stores by using a three-step methodology by inspecting the mobile data and social media data accessed by these applications, checking for privacy policies and theircompliance with distributors’ vetting policies and performing a qualitative assessment of traceability between privacy policies and the actual transparency and control mechanisms offeredto users by the apps’ interfaces. Our results demonstrate a variation in data accessed by the individual applications, an absence of privacy policies for 5 of the SMAs evaluated, and alack of traceability between privacy policies and transparency and control of interface operations.

AB - Social Media Aggregator (SMA) applications present a platform enabling users to manage multiple Social Networking Sites (SNS) in one convenient application, which results in a unique concentration of data from several SNS accounts in addition to the user’s mobile phone data available to them. In this paper, we provide a detailed privacy assessment of 13 popularSMAs from 3 app stores by using a three-step methodology by inspecting the mobile data and social media data accessed by these applications, checking for privacy policies and theircompliance with distributors’ vetting policies and performing a qualitative assessment of traceability between privacy policies and the actual transparency and control mechanisms offeredto users by the apps’ interfaces. Our results demonstrate a variation in data accessed by the individual applications, an absence of privacy policies for 5 of the SMAs evaluated, and alack of traceability between privacy policies and transparency and control of interface operations.

U2 - 10.1145/3110025.3110103

DO - 10.1145/3110025.3110103

M3 - Conference contribution/Paper

SN - 9781450349932

SP - 561

EP - 568

BT - ASONAM '17 Proceedings of the 2017 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining 2017

PB - ACM

CY - New York

ER -