Author ORCID Identifier
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Computer Sciences, Information Science, Ethics
Dark Patterns are designed to trick users into sharing more information or spending more money than they had intended to do, by configuring online interactions to confuse or add pressure to the users. They are highly varied in their form, and are therefore difficult to classify and detect. Therefore, this research is designed to develop a framework for the automated detection of potential instances of web-based dark patterns, and from there to develop a software tool that will provide a highly useful defensive tool that helps detect and highlight these patterns.
Donnelly, J., Dowley, A.,Liu, Y., Su, Y., Sun, Q., Zeng, L., Curley, A., Gordon, D., Kelly, P., O'Sullivan, D., Becevel, A. “Be a Pattern for the World”: The Development of a Dark Patterns Detection Tool to Prevent Online User Loss. Proceedings of Ethicomp, 20th International Conference on the Ethical and Social issues in Information and Communication Technologies, Turku, Finland, 26-28th July, 2022. DOI: 10.21427/2Y2Q-6323