What Makes a Dark Pattern... Dark? Design Attributes, Normative Considerations, and Measurement Methods
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Abstract (arXiv)
There is a rapidly growing literature on dark patterns, user interface designs -- typically related to shopping or privacy -- that researchers deem problematic. Recent work has been predominantly descriptive, documenting and categorizing objectionable user interfaces. These contributions have been invaluable in highlighting specific designs for researchers and policymakers. But the current literature lacks a conceptual foundation: What makes a user interface a dark pattern? Why are certain designs problematic for users or society? We review recent work on dark patterns and demonstrate that the literature does not reflect a singular concern or consistent definition, but rather, a set of thematically related considerations. Drawing from scholarship in psychology, economics, ethics, philosophy, and law, we articulate a set of normative perspectives for analyzing dark patterns and their effects on individuals and society. We then show how future research on dark patterns can go beyond subjective criticism of user interface designs and apply empirical methods grounded in normative perspectives.
Key facts. Cited by 15 papers in the map (data through 7 Oct 2026). First posted on arXiv 13 Jan 2021.
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Citing papers per year: 2022: 2; 2023: 3; 2024: 2; 2025: 5; 2026: 3.
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- 2025DarkBench: Benchmarking Dark Patterns in Large Language Modelscited by 25
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responsescited by 15
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversightcited by 15
- 2024Characterizing and modeling harms from interactions with design patterns in AI interfacescited by 11
- 2023Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systemscited by 9
- 2025SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agentscited by 8
- 2022Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other waycited by 3
- 2022Dark patterns in e-commerce: a dataset and its baseline evaluationscited by 3
- 2025Imposing AI: Deceptive design patterns against sustainabilitycited by 2
- 2026Affective Context Amplifies Sycophancy in LLM Responsescited by 1
- 2023Against Algorithmic Exploitation of Human Vulnerabilitiescited by 0
- 2023Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysiscited by 0
3 more
- 2026Affective Context Amplifies Sycophancy in LLM Responses21 Aug 2026
- 2026Playing Games with My Heart: An Evaluation of AI Companion Apps8 Apr 2026
- 2026LLM-Based Intelligent Notification Composition: From Static Personalization to Context-Aware Persuasive Messaging22 Mar 2026
- 2025SusBench: An Online Benchmark for Evaluating Dark Pattern Susceptibility of Computer-Use Agents13 Oct 2025
- 2025Dark Patterns Meet GUI Agents: LLM Agent Susceptibility to Manipulative Interfaces and the Role of Human Oversight12 Sep 2025
- 2025Imposing AI: Deceptive design patterns against sustainability12 Aug 2025
- 2025DarkBench: Benchmarking Dark Patterns in Large Language Models13 Mar 2025
- 2025Deception at Scale: Deceptive Designs in 1K LLM-Generated Ecommerce Components19 Feb 2025
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses7 Jun 2024
- 2024Characterizing and modeling harms from interactions with design patterns in AI interfaces17 Apr 2024
- 2023Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysis30 Dec 2023
- 2023Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems1 Aug 2023
- 2025DarkBench: Benchmarking Dark Patterns in Large Language Modelscited by 25
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responsescited by 15
- 2024Characterizing and modeling harms from interactions with design patterns in AI interfacescited by 11
- 2023Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systemscited by 9
- 2022Automated detection of dark patterns in cookie banners: how to do it poorly and why it is hard to do it any other waycited by 3
- 2022Dark patterns in e-commerce: a dataset and its baseline evaluationscited by 3
- 2025Imposing AI: Deceptive design patterns against sustainabilitycited by 2
- 2026Affective Context Amplifies Sycophancy in LLM Responsescited by 1
- 2023Against Algorithmic Exploitation of Human Vulnerabilitiescited by 0
- 2023Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysiscited by 0
- 2025Deception at Scale: Deceptive Designs in 1K LLM-Generated Ecommerce Componentscited by 0
- 2026Playing Games with My Heart: An Evaluation of AI Companion Appscited by 0
12 most cited of 13 All 13 (JSON)
- 2026Affective Context Amplifies Sycophancy in LLM Responses21 Aug 2026
- 2026Playing Games with My Heart: An Evaluation of AI Companion Apps8 Apr 2026
- 2026LLM-Based Intelligent Notification Composition: From Static Personalization to Context-Aware Persuasive Messaging22 Mar 2026
- 2025Imposing AI: Deceptive design patterns against sustainability12 Aug 2025
- 2025DarkBench: Benchmarking Dark Patterns in Large Language Models13 Mar 2025
- 2025Deception at Scale: Deceptive Designs in 1K LLM-Generated Ecommerce Components19 Feb 2025
- 2024LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses7 Jun 2024
- 2024Characterizing and modeling harms from interactions with design patterns in AI interfaces17 Apr 2024
- 2023Why is the User Interface a Dark Pattern? : Explainable Auto-Detection and its Analysis30 Dec 2023
- 2023Beneficent Intelligence: A Capability Approach to Modeling Benefit, Assistance, and Associated Moral Failures through AI Systems1 Aug 2023
- 2023Against Algorithmic Exploitation of Human Vulnerabilities12 Jan 2023
- 2022Dark patterns in e-commerce: a dataset and its baseline evaluations12 Nov 2022
12 newest of 13 All 13 (JSON)