The Invisible Game on the Internet: A Case Study of Decoding Deceptive Patterns Article Swipe
YOU?
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· 2024
· Open Access
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· DOI: https://doi.org/10.1145/3589335.3651571
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.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1145/3589335.3651571
- https://dl.acm.org/doi/pdf/10.1145/3589335.3651571
- OA Status
- gold
- Cited By
- 3
- References
- 6
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4396843625
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4396843625Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1145/3589335.3651571Digital Object Identifier
- Title
-
The Invisible Game on the Internet: A Case Study of Decoding Deceptive PatternsWork title
- Type
-
articleOpenAlex work type
- Language
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enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-05-12Full publication date if available
- Authors
-
Zewei Shi, Ruoxi Sun, Jieshan Chen, Jiamou Sun, Minhui XueList of authors in order
- Landing page
-
https://doi.org/10.1145/3589335.3651571Publisher landing page
- PDF URL
-
https://dl.acm.org/doi/pdf/10.1145/3589335.3651571Direct link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://dl.acm.org/doi/pdf/10.1145/3589335.3651571Direct OA link when available
- Concepts
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Decoding methods, Computer science, The Internet, Internet privacy, Computer security, Human–computer interaction, World Wide Web, TelecommunicationsTop concepts (fields/topics) attached by OpenAlex
- Cited by
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3Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 1Per-year citation counts (last 5 years)
- References (count)
-
6Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.practices | 4 |
| abstract_inverted_index.Adversary, | 64 |
| abstract_inverted_index.assessment | 88 |
| abstract_inverted_index.importance | 106 |
| abstract_inverted_index.manipulate | 10 |
| abstract_inverted_index.regulating | 33 |
| abstract_inverted_index.widespread | 14 |
| abstract_inverted_index.Challengers | 70 |
| abstract_inverted_index.Legislative | 26 |
| abstract_inverted_index.assessment. | 115 |
| abstract_inverted_index.development | 24 |
| abstract_inverted_index.emphasizing | 104 |
| abstract_inverted_index.significant | 43 |
| abstract_inverted_index.advancements | 38 |
| abstract_inverted_index.interactions | 61 |
| abstract_inverted_index.quantitative | 86 |
| abstract_inverted_index.representing | 12 |
| abstract_inverted_index.comprehensive | 57 |
| abstract_inverted_index.long-standing | 16 |
| abstract_inverted_index.Representative | 90 |
| abstract_inverted_index.practicability | 97 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 90 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 5 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.41999998688697815 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.8108976 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |