Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies
Abdulaziz Alghamdi, David Mohaisen

TL;DR
This study uses BERT to analyze and compare privacy policies of AR/VR apps with websites, revealing industry trends and highlighting strategies for improving privacy policy clarity and effectiveness.
Contribution
It introduces a novel application of BERT for analyzing AR/VR privacy policies and compares these with website policies to assess privacy practices.
Findings
AR/VR apps have more positive privacy segments than free websites but fewer than premium sites.
AR/VR policies emphasize critical privacy practices and key terms.
Highlighting strategies improve policy clarity and effectiveness.
Abstract
\begin{abstract} This paper comprehensively analyzes privacy policies in AR/VR applications, leveraging BERT, a state-of-the-art text classification model, to evaluate the clarity and thoroughness of these policies. By comparing the privacy policies of AR/VR applications with those of free and premium websites, this study provides a broad perspective on the current state of privacy practices within the AR/VR industry. Our findings indicate that AR/VR applications generally offer a higher percentage of positive segments than free content but lower than premium websites. The analysis of highlighted segments and words revealed that AR/VR applications strategically emphasize critical privacy practices and key terms. This enhances privacy policies' clarity and effectiveness.
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Taxonomy
TopicsAdvanced Malware Detection Techniques · Privacy, Security, and Data Protection · Digital and Cyber Forensics
MethodsRefunds@Expedia|||How do I get a full refund from Expedia? · Attention Is All You Need · Linear Warmup With Linear Decay · Adam · Softmax · Dropout · WordPiece · Attention Dropout · Layer Normalization · Linear Layer
