Summary of A Decade Of Privacy-relevant Android App Reviews: Large Scale Trends, by Omer Akgul et al.
A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
by Omer Akgul, Sai Teja Peddinti, Nina Taft, Michelle L. Mazurek, Hamza Harkous, Animesh Srivastava, Benoit Seguin
First submitted to arxiv on: 4 Mar 2024
Categories
- Main: Machine Learning (cs.LG)
- Secondary: Human-Computer Interaction (cs.HC)
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| Summary difficulty | Written by | Summary |
|---|---|---|
| High | Paper authors | High Difficulty Summary Read the original abstract here |
| Medium | GrooveSquid.com (original content) | Medium Difficulty Summary Medium Difficulty summary: This paper presents an analysis of 12 million Google Play Store reviews related to privacy over a 10-year period. The authors employ state-of-the-art NLP techniques to examine user-written reviews along multiple dimensions, including time, countries, app types, and emotions. The study finds consistent growth in privacy-relevant reviews and identifies trending topics like Data Deletion and Data Theft, as well as declining topics like sensitive permissions. The analysis also reveals that 90% of privacy reviews come from 33 countries, with unique patterns observed in some countries. Interestingly, the authors find that positive reviews (32%) often praise apps’ privacy features or focus on privacy-focused applications. This paper demonstrates the value of analyzing app reviews as a complement to existing methods for understanding users’ perspectives about privacy. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary Low Difficulty summary: Researchers looked at 12 million Google Play Store reviews over 10 years to understand what people are saying about privacy. They used special computer programs to analyze these reviews and found that more and more people are talking about privacy, with some topics becoming more popular while others decline. The study also shows that most of the reviews come from a few countries and reveals some surprising patterns. One interesting finding is that many users are actually happy with apps’ privacy features! This research helps us better understand what people think about privacy and how we can use this information to improve our understanding. |
Keywords
* Artificial intelligence * Nlp
