Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies
Fuente:
arXiv
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| Autori principali: | , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866915131375484928 |
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| author | Alghamdi, Abdulaziz Mohaisen, David |
| author_facet | Alghamdi, Abdulaziz Mohaisen, David |
| contents | \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. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2501_19223 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies Alghamdi, Abdulaziz Mohaisen, David Cryptography and Security Machine Learning \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. |
| title | Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies |
| topic | Cryptography and Security Machine Learning |
| url | https://arxiv.org/abs/2501.19223 |