A proxy for privacy uncovering the surveillance ecology of mobile apps

被引:13
作者
Sophus Lai, Signe [1 ]
Flensburg, Sofie [1 ]
机构
[1] Univ Copenhagen, Dept Commun, Karen Blixens Plads 8, DK-1017 Copenhagen, Denmark
来源
BIG DATA & SOCIETY | 2020年 / 7卷 / 02期
关键词
Mobile apps; applications; political economy; digital infrastructures; critical data studies;
D O I
10.1177/2053951720942543
中图分类号
C [社会科学总论];
学科分类号
03 ; 0303 ;
摘要
The article develops a methodological and empirical approach for gauging the ways Big Data can be collected and distributed through mobile apps. This approach focuses on the infrastructural components that condition the disclosure of smartphone users' data - namely the permissions that apps request and the third-party corporations they work with. We explore the surveillance ecology of mobile apps and thereby the privacy implications of everyday smartphone use through three analytical perspectives: The first focuses on the 'appscapes' of individual smartphone users and investigates the consequences of which and how many mobile apps users download on their phones; the second compares different types of apps in order to study the app ecology and the relationships between app and third-party service providers; and the third focuses on a particular app category and discusses the functional as well as the commercial incentives for permissions and third-party collaborations. Thereby, the article advances an interdisciplinary dialogue between critical data studies, political economy and app studies, and pushes an empirical and critical perspective on mobile communication, app ecologies and data economies.
引用
收藏
页数:20
相关论文
共 44 条
  • [1] [Anonymous], 2012, USENIX S NETW SYST D
  • [2] App Annie Content, APP ANN APP AN APP D
  • [3] Atkinson M., 2015, APPS PERMISSIONS GOO
  • [4] The privacy paradox - Investigating discrepancies between expressed privacy concerns and actual online behavior - A systematic literature review
    Barth, Susanne
    de Jong, Menno D. T.
    [J]. TELEMATICS AND INFORMATICS, 2017, 34 (07) : 1038 - 1058
  • [5] Third Party Tracking in the Mobile Ecosystem
    Binns, Reuben
    Lyngs, Ulrik
    Van Kleek, Max
    Zhao, Jun
    Libert, Timothy
    Shadbolt, Nigel
    [J]. WEBSCI'18: PROCEEDINGS OF THE 10TH ACM CONFERENCE ON WEB SCIENCE, 2018, : 23 - 31
  • [6] Boyd D., 2011, DEC INT TIM S DYN IN, DOI DOI 10.2139/SSRN.1926431
  • [7] Brunton Finn, 2015, Obfuscation: A Users Guide for Privacy and Protest
  • [8] The algorithmic imaginary: exploring the ordinary affects of Facebook algorithms
    Bucher, Taina
    [J]. INFORMATION COMMUNICATION & SOCIETY, 2017, 20 (01) : 30 - 44
  • [9] Cheney-Lippold J., 2017, We are Data. Algorithms and the Making of our Digital Selves, P201
  • [10] Cimpanu C, 2019, MOST ANDROID FLASHLI