The problem of ``Dark Patterns" in user interface/user experience (UI/UX) design has proven a difficult issue to tackle. Malicious and explotitative design has expanded to multiple domains in the past 10 years and which has in turn led to multiple taxonomies attempting to describe them. While these taxonomies holds their own merit, and constitute unique contributions to the literature, their usefulness as separate entities is limited. We believe that in order to make meaningful progress in regulating malicious interface design, we must first form a globally harmonized system (GHS) for the classification and labeling of Dark Patterns. By leaning on network analysis tools and methods, this paper synthesizes existing taxonomies and their elements through as a directed graph. In doing so, the interconnectedness of Dark patterns can be more clearly revealed via community (cluster) detection. Ultimately, we hope that this work can serve as the inspiration for the creation of a glyph-based GHS for the classification of Dark Patterns.

翻译：用户界面/用户体验（UI/UX）设计中“暗黑模式”的问题已被证明难以解决。过去十年间，恶意与剥削性设计已扩展至多个领域，这进而催生了多种试图描述它们的分类体系。尽管这些分类体系各有其价值，并对文献做出了独特贡献，但作为独立实体，其效用有限。我们认为，要在规范恶意界面设计方面取得有意义的进展，首先必须建立一个全球协调系统（GHS）来分类和标注暗黑模式。本文借助网络分析工具和方法，通过有向图的形式综合现有分类体系及其要素。通过社区（聚类）检测，暗黑模式之间的相互关联性得以更清晰地揭示。最终，我们希望此项工作能够为创建基于符号的暗黑模式分类GHS提供灵感。