Author ORCID Identifier

Document Type

Conference Paper


Available under a Creative Commons Attribution Non-Commercial Share Alike 4.0 International Licence


Computer Sciences, Information Science, Ethics

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)


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.



European Union