Don't Detect, Just Correct: Can LLMs Defuse Deceptive Patterns Directly?

Figure 1: We provided the LLM GPT-4o with the HTML source of UIs like the one on the left, a fictional ticket shop using several deceptive patterns to manipulate users into purchasing VIP tickets.Several iterations of simply prompting the LLM to "Make that less manipulative" (our minimal prompt) resulted in the fair design on the right.

Authors

Paul Miles Preuschoff (ORCID: https://orcid.org/0000-0002-3545-1579)
Jan Borchers (ORCID: https://orcid.org/0000-0003-1509-3257)
René Schäfer (ORCID: https://orcid.org/0000-0002-0078-1412)
S. R. Hahn
Kevin Fiedler (ORCID: https://orcid.org/0009-0008-3644-1488)
Rene Niewianda

Institutions

RWTH Aachen University (DE)

Publication Details

Published: 2025-04-25
DOI: https://doi.org/10.1145/3706599.3719683
Citations: 1
Primary Topic: Imbalanced Data Classification Techniques
Type: article
Field-Weighted Citation Impact: 2.48

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article

Don't Detect, Just Correct: Can LLMs Defuse Deceptive Patterns Directly?

Paul Miles Preuschoff, Jan Borchers, René Schäfer, S. R. Hahn et al.

Apr 25, 2025

1 citations

Imbalanced Data Classification Techniques

2.48

article

Don't Detect, Just Correct: Can LLMs Defuse Deceptive Patterns Directly?

Paul Miles Preuschoff, Jan Borchers, René Schäfer, S. R. Hahn, Kevin Fiedler, Rene Niewianda

April 25, 2025article en

1 citations

Abstract

Figure 1: We provided the LLM GPT-4o with the HTML source of UIs like the one on the left, a fictional ticket shop using several deceptive patterns to manipulate users into purchasing VIP tickets.Several iterations of simply prompting the LLM to "Make that less manipulative" (our minimal prompt) resulted in the fair design on the right.

RWTH Aachen University (DE)

Openalex Percentile: Top 11%

Imbalanced Data Classification Techniques

2.48

DOI Open Access PDF OpenAlex

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