Articles

This research proposes a technique for detecting dark patterns in user interfaces of online trading sites by applying cluster analysis algorithms (hierarchical and k-means). The authors address the challenge of lacking formal datasets for dark patterns by identifying signs based on Nelsen's antisymmetric principles and using linguistic variables for assessment. The article also analyzes the application of these clustering algorithms in the RStudio environment.