Summary of Beyond Keywords: a Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews, by Aakash Sorathiya and Gouri Ginde
Beyond Keywords: A Context-based Hybrid Approach to Mining Ethical Concern-related App Reviews
by Aakash Sorathiya, Gouri Ginde
First submitted to arxiv on: 11 Nov 2024
Categories
- Main: Computation and Language (cs.CL)
- Secondary: Artificial Intelligence (cs.AI); Software Engineering (cs.SE)
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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 The paper proposes an approach to extract ethical concerns from mobile application (app) reviews. With the growing importance of ethics in app development, extracting relevant feedback can help create successful products that prioritize safety, privacy, and accountability. The authors highlight the challenges of automating this process due to the varied vocabulary used by users when expressing their concerns. |
| Low | GrooveSquid.com (original content) | Low Difficulty Summary This paper focuses on developing a model to identify ethical concerns in app reviews. It’s an important step towards creating better apps that meet user needs. By using machine learning techniques, the authors aim to make it easier for developers to prioritize ethics and create safer, more private, and accountable products. |
Keywords
» Artificial intelligence » Machine learning
