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A Decade of Privacy-Relevant Android App Reviews: Large Scale Trends
March 5, 2024, 2:42 p.m. | Omer Akgul, Sai Teja Peddinti, Nina Taft, Michelle L. Mazurek, Hamza Harkous, Animesh Srivastava, Benoit Seguin
cs.LG updates on arXiv.org arxiv.org
Abstract: We present an analysis of 12 million instances of privacy-relevant reviews publicly visible on the Google Play Store that span a 10 year period. By leveraging state of the art NLP techniques, we can examine what users have been writing about privacy along multiple dimensions: time, countries, app types, diverse privacy topics, and even across a spectrum of emotions. We find consistent growth of privacy-relevant reviews, and explore topics that are trending (such as Data …
abstract analysis android app art arxiv cs.hc cs.lg dimensions google google play google play store instances multiple nlp nlp techniques play store privacy reviews scale state state of the art store trends type writing
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