Author ORCID Identifier
https://orcid.org/0000-0001-7704-8975
Document Type
Conference Paper
Rights
Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence
Disciplines
Computer Sciences, Information Science, Ethics
Abstract
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.
DOI
https://doi.org/10.21427/2Y2Q-6323
Recommended Citation
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
Funder
European Union
Included in
Applied Ethics Commons, Computer Sciences Commons, Data Science Commons, Mass Communication Commons
Publication Details
Proceedings of Ethicomp, 20th International Conference on the Ethical and Social issues in Information and Communication Technologies, Turku, Finland, 26-28th July, 2022, pp. 578-582.
Funded within the Ethics4EU project (2019-1-IE02-KA203-00065)