A Large-Scale Longitudinal Analysis of Missing Label Accessibility Failures in Android Apps

Author:

Fok Raymond1,Zhong Mingyuan1,Ross Anne Spencer2,Fogarty James3,Wobbrock Jacob O.4

Affiliation:

1. Paul G. Allen School of Computer Science & Engineering, University of Washington, United States

2. Computer Science, Bucknell University, United States

3. Computer Science & Engineering, University of Washington, United States

4. University of Washington, United States

Publisher

ACM

Reference55 articles.

1. Finding the Needle in a Haystack: On the Automatic Identification of Accessibility User Reviews

2. Accessibility issues in Android apps

3. Amazon. 2021. Amazon Accessibility. https://www.amazon.com/b?ie=UTF8&node=15701038011 Amazon. 2021. Amazon Accessibility. https://www.amazon.com/b?ie=UTF8&node=15701038011

4. Shahriyar Amini. 2018. Analyzing Mobile App Privacy Using Computation and Crowdsourcing. Shahriyar Amini. 2018. Analyzing Mobile App Privacy Using Computation and Crowdsourcing.

5. Apple. 2021. Accessibility Programming Guide for OS X. https://developer.apple.com/library/archive/documentation/Accessibility/Conceptual/AccessibilityMacOSX/OSXAXTestingApps.html Apple. 2021. Accessibility Programming Guide for OS X. https://developer.apple.com/library/archive/documentation/Accessibility/Conceptual/AccessibilityMacOSX/OSXAXTestingApps.html

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5. "I tend to view ads almost like a pestilence": On the Accessibility Implications of Mobile Ads for Blind Users;Proceedings of the IEEE/ACM 46th International Conference on Software Engineering;2024-04-12

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