The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns
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arXiv
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| Auteurs principaux: | , , , , |
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| Format: | Preprint |
| Publié: |
2024
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| _version_ | 1866913223726333952 |
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| author | Shi, Zewei Sun, Ruoxi Chen, Jieshan Sun, Jiamou Xue, Minhui |
| author_facet | Shi, Zewei Sun, Ruoxi Chen, Jieshan Sun, Jiamou Xue, Minhui |
| contents | Deceptive patterns are design practices embedded in digital platforms to manipulate users, representing a widespread and long-standing issue in the web and mobile software development industry. Legislative actions highlight the urgency of globally regulating deceptive patterns. However, despite advancements in detection tools, a significant gap exists in assessing deceptive pattern risks. In this study, we introduce a comprehensive approach involving the interactions between the Adversary, Watchdog (e.g., detection tools), and Challengers (e.g., users) to formalize and decode deceptive pattern threats. Based on this, we propose a quantitative risk assessment system. Representative cases are analyzed to showcase the practicability of the proposed risk scoring system, emphasizing the importance of involving human factors in deceptive pattern risk assessment. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2402_03569 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns Shi, Zewei Sun, Ruoxi Chen, Jieshan Sun, Jiamou Xue, Minhui Cryptography and Security Deceptive patterns are design practices embedded in digital platforms to manipulate users, representing a widespread and long-standing issue in the web and mobile software development industry. Legislative actions highlight the urgency of globally regulating deceptive patterns. However, despite advancements in detection tools, a significant gap exists in assessing deceptive pattern risks. In this study, we introduce a comprehensive approach involving the interactions between the Adversary, Watchdog (e.g., detection tools), and Challengers (e.g., users) to formalize and decode deceptive pattern threats. Based on this, we propose a quantitative risk assessment system. Representative cases are analyzed to showcase the practicability of the proposed risk scoring system, emphasizing the importance of involving human factors in deceptive pattern risk assessment. |
| title | The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns |
| topic | Cryptography and Security |
| url | https://arxiv.org/abs/2402.03569 |