Understanding Privacy-Related Questions on Stack Overflow
Mohammad Tahaei, Kami Vaniea, Naomi Saphra
Abstract
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.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext ecba7aaf-4b10-4d55-a90c-02d8ad94ad61Cited by top-tier papers20
- A comprehensive study on challenges in deploying deep learning based softwareZhenpeng Chen, Yanbin Cao, Yuanqiang Liu, Haoyu Wang et al.FSE 2020 · 121 citations
- Privacy Champions in Software Teams: Understanding Their Motivations, Strategies, and ChallengesMohammad Tahaei, Alisa Frik, Kami VanieaCHI 2021 · 75 citations
- RepliCueAuth: Validating the Use of a Lab-Based Virtual Reality Setup for Evaluating Authentication SystemsFlorian Mathis, Kami Vaniea, Mohamed KhamisCHI 2021 · 52 citations
- Recruiting Participants With Programming Skills: A Comparison of Four Crowdsourcing Platforms and a CS Student Mailing ListMohammad Tahaei, Kami VanieaCHI 2022 · 45 citations
- Data Comics for Reporting Controlled User Studies in Human-Computer InteractionZezhong Wang, Jacob Ritchie, Jingtao Zhou, Fanny Chevalier et al.IEEE VIS 2020 · 44 citations
Builds on5
- Polisis: Automated Analysis and Presentation of Privacy Policies Using Deep LearningHamza Harkous, Kassem Fawaz, Rémi Lebret, Florian Schaub et al.USENIX Security 2018 · 400 citations
- You Get Where You're Looking for: The Impact of Information Sources on Code SecurityYasemin Acar, Michael Backes, Sascha Fahl, Doowon Kim et al.S&P 2016 · 325 citations
- Stack Overflow Considered Harmful? The Impact of Copy&Paste on Android Application SecurityFelix Fischer, Konstantin Böttinger, Huang Xiao, Christian Stransky et al.S&P 2017 · 293 citations
- Comparing the Usability of Cryptographic APIsYasemin Acar, Michael Backes, Sascha Fahl, Simson L. Garfinkel et al.S&P 2017 · 261 citations
- A Stitch in Time: Supporting Android Developers in WritingSecure CodeDuc Cuong Nguyen, Dominik Wermke, Yasemin Acar, Michael Backes et al.CCS 2017 · 125 citations
Related papers
- How Developers Talk About Personal Data and What It Means for User Privacy: A Case Study of a Developer Forum on RedditTianshi Li, Elizabeth Louie, Laura Dabbish, Jason I. HongCSCW 2020 · 64 citations
- Energy-Efficient Software Development: A Multi-dimensional Empirical Analysis of Stack OverflowBihui Jin, Heng Li, Pengyu Nie, Ying ZouICSE 2026 · 1 citation
- Tinker, Tailor, Trust: How Developers Create Privacy Policies With and Without AIShiva Mayahi, Noura Alomar, Nathan MalkinCHI 2026 · 1 citation
- Analyzing User Perspectives on Mobile App Privacy at ScalePreksha Nema, Pauline Anthonysamy, Nina Taft, Sai Teja PeddintiICSE 2022 · 50 citations
- A Decade of Privacy-Relevant Android App Reviews: Large Scale TrendsOmer Akgul, Sai Teja Peddinti, Nina Taft, Michelle L. Mazurek et al.USENIX Security 2024 · 14 citations
