publication . Article . 2019

Revealing the unrevealed: Mining smartphone users privacy perception on app markets

Majid Hatamian; Jetzabel M. Serna; Kai Rannenberg;
Open Access
  • Published: 28 Feb 2019 Journal: Computers & Security, volume 83, pages 332-353 (issn: 0167-4048, Copyright policy)
  • Publisher: Elsevier BV
Abstract Popular smartphone apps may receive several thousands of user reviews containing statements about apps’ functionality, interface, user-friendliness, etc. They sometimes also comprise privacy relevant information that can be extremely helpful for app developers to better understand why users complain about certain privacy aspects of their apps. However, due to the complicated and sometimes vague nature of reviews, it is quite though and time consuming for developers to go through all these reviews to get information about privacy aspects of apps. Furthermore, previous studies confirmed that sometimes bad privacy practices happen due to the app developers...
Persistent Identifiers
free text keywords: Law, General Computer Science, Computer science, Perception, media_common.quotation_subject, media_common, Exploit, Sentiment analysis, Extremely Helpful, Behavior monitoring, Internet privacy, business.industry, business, Mobile apps, Automatic summarization, Lack of knowledge
Related Organizations
Funded by
EC| Privacy.Us
Privacy and Usability
  • Funder: European Commission (EC)
  • Project Code: 675730
  • Funding stream: H2020 | MSCA-ITN-ETN
Validated by funder
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