I Don't Know Why You Need My Data: A Case Study of Popular Social Media Privacy Policies

被引:1
作者
Miller, Elizabeth [1 ]
Rahman, Md Rashedur [1 ]
Hossain, Moinul [1 ]
Ali-Gombe, Aisha [1 ]
机构
[1] Towson Univ, Towson, MD 21252 USA
来源
CODASPY'22: PROCEEDINGS OF THE TWELVETH ACM CONFERENCE ON DATA AND APPLICATION SECURITY AND PRIVACY | 2022年
基金
美国国家科学基金会;
关键词
Privacy Policy; Facebook; Twitter; Social Media; Privacy Policy Analysis;
D O I
10.1145/3508398.3519359
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Data privacy, a critical human right, is gaining importance as new technologies are developed, and the old ones evolve. In mobile platforms such as Android, data privacy regulations require developers to communicate data access requests using privacy policy statements (PPS). This case study cross-examines the privacy policy in popular social media (SM) apps - Facebook and Twitter - constituting 314 candidate statements for features of language ambiguity, sensitive data requests, and whether the statements tally with the data requests made in the Manifest file. Subsequently, we conduct a comparative analysis between the PPS of these two apps to examine trends that may constitute a threat to user data privacy.
引用
收藏
页码:340 / 342
页数:3
相关论文
共 5 条
  • [1] Beigi Ghazaleh, 2020, ACM/IMS Transactions on Data Science, V1, DOI 10.1145/3343038
  • [2] California Consumer Privacy Act (CCPA), About Us
  • [3] GDPR, US
  • [4] Rahman MR, 2022, Arxiv, DOI arXiv:2202.06995
  • [5] Statista Research Department, 2021, PERC US POP WHO CURR