What Makes a Good App Description?
He Jiang, Hongjing Ma, Zhilei Ren, Jingxuan Zhang, Xiaochen Li

TL;DR
This study investigates what makes a good app description on Google Play, identifying key attributes that influence user perception and developing a model to evaluate description quality.
Contribution
The paper introduces a crowdsourcing approach to identify attributes affecting app description quality and trains a supervised model achieving 62% accuracy.
Findings
Participants prioritize the app description for quick overview.
Key attributes include permissions, paragraph count, and average words per feature.
Support vector machine model achieves 62% accuracy in quality prediction.
Abstract
In the Google Play store, an introduction page is associated with every mobile application (app) for users to acquire its details, including screenshots, description, reviews, etc. However, it remains a challenge to identify what items influence users most when downloading an app. To explore users' perspective, we conduct a survey to inquire about this question. The results of survey suggest that the participants pay most attention to the app description which gives users a quick overview of the app. Although there exist some guidelines about how to write a good app description to attract more downloads, it is hard to define a high quality app description. Meanwhile, there is no tool to evaluate the quality of app description. In this paper, we employ the method of crowdsourcing to extract the attributes that affect the app descriptions' quality. First, we download some app descriptions…
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Taxonomy
TopicsWeb Data Mining and Analysis · Recommender Systems and Techniques · Advanced Text Analysis Techniques
