Evaluating Privacy Questions From Stack Overflow: Can ChatGPT Compete?
Not on the map. Why?
Abstract (arXiv)
Stack Overflow and other similar forums are used commonly by developers to seek answers for their software development as well as privacy-related concerns. Recently, ChatGPT has been used as an alternative to generate code or produce responses to developers' questions. In this paper, we aim to understand developers' privacy challenges by evaluating the types of privacy-related questions asked on Stack Overflow. We then conduct a comparative analysis between the accepted responses given by Stack Overflow users and the responses produced by ChatGPT for those extracted questions to identify if ChatGPT could serve as a viable alternative. Our results show that most privacy-related questions are related to choice/consent, aggregation, and identification. Furthermore, our findings illustrate that ChatGPT generates similarly correct responses for about 56% of questions, while for the rest of the responses, the answers from Stack Overflow are slightly more accurate than ChatGPT.
Key facts. Cited by 2 papers in the map (data through 14 Oct 2026). Builds on 14 of its 43 references that are in the map. First posted on arXiv 19 Jun 2023.
Builds on
14 of 43 references.
References · 14
- 2020Language Models are Few-Shot Learnerscited by 32,419
- 2019Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformercited by 14,599
- 2017A Broad-Coverage Challenge Corpus for Sentence Understanding through Inferencecited by 2,682
- 2015A large annotated corpus for learning natural language inferencecited by 1,847
- 2023A Prompt Pattern Catalog to Enhance Prompt Engineering with ChatGPTcited by 619
- 2023An Analysis of the Automatic Bug Fixing Performance of ChatGPTcited by 110
- 2023Is ChatGPT the Ultimate Programming Assistant -- How far is it?cited by 76
- 2023ChatGPT Prompt Patterns for Improving Code Quality, Refactoring, Requirements Elicitation, and Software Designcited by 66
- 2017Generative Adversarial Network for Abstractive Text Summarizationcited by 23
- 2023Comparing Software Developers with ChatGPT: An Empirical Investigationcited by 11
- 2020Engineering Privacy by Design: Are engineers ready to live up to the challenge?cited by 2
- 2021A Mixed-method Study on Security and Privacy Practices in Danish Companiescited by 1
Built on by
Citing papers per year: 2025: 2.
2 papers.