Understanding Privacy-Related Questions on Stack Overflow

Mohammad Tahaei, Kami Vaniea, Naomi Saphra

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We analyse Stack Overflow (SO) to understand challenges and confusions developers face while dealing with privacy-related topics. We apply topic modelling techniques to 1,733 privacy-related questions to identify topics and then qualitatively analyse a random sample of 315 privacy-related questions. Identified topics include privacy policies, privacy concerns, access control, and version changes. Results show that developers do ask SO for support on privacy-related issues. We also find that platforms such as Apple and Google are defining privacy requirements for developers by specifying what "sensitive'' information is and what types of information developers need to communicate to users (e.g. privacy policies). We also examine the accepted answers in our sample and find that 28% of them link to official documentation and more than half are answered by SO users without references to any external resources.
Original languageEnglish
Title of host publicationCHI '20: Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems
PublisherACM
Number of pages14
ISBN (Print)9781450367080
DOIs
Publication statusPublished - 21 Apr 2020
EventACM CHI Conference on Human Factors in Computing Systems - Hawaiʻi Convention Center on the island of Oahu, Honolulu, United States
Duration: 25 Apr 202030 Apr 2020
https://chi2020.acm.org/

Conference

ConferenceACM CHI Conference on Human Factors in Computing Systems
Abbreviated titleCHI 2020
Country/TerritoryUnited States
CityHonolulu
Period25/04/2030/04/20
Internet address

Keywords / Materials (for Non-textual outputs)

  • Software Developers
  • Usable Privacy
  • Stack Overflow

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