@inproceedings{,
    author = {Schlolaut, Mathias; Kieselmann, Olga; Wacker, Arno},
    title = {Comparing Nudges and Deceptive Patterns at a Technical Level},
    editor = {Gray, Colin M.; Gunawan, Johanna; Schäfer, René; Bielova, Nataliia; Sánchez Chamorro, Lorena; Seaborn, Katie; Mildner, Thomas; Sandhaus, Hauke},
    booktitle = {Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices 2024 : Proceedings of the Workshop Mobilizing Research and Regulatory Action on Dark Patterns and Deceptive Design Practices (DDPCHI 2024), Hybrid Event, Honolulu, HI, USA, May 11--16, 2024},
    series = {CEUR workshop proceedings},
    journal = {},
    address = {Aachen},
    publisher = {Technical University of Aachen},
    edition = {},
    year = {2024},
    isbn = {},
    volume = {3720},
    number =  {},
    pages = {},
    url = {https://ceur-ws.org/Vol-3720/paper12.pdf},
    doi = {},
    keywords = {dark patterns ; deceptive patterns ; nudging},
    abstract = {Nowadays, two concepts are widely used to influence users' behavior on websites. These are deceptive patterns and nudges. In the literature, the two concepts are distinguished according to their goals and effects. While deceptive patterns are considered as manipulation of users, nudges have a more positive connotation – they are meant to motivate users to make better decisions. However, looking at these concepts from a technical perspective, the question arises whether they also differ in their realization. Is it possible to automatically differentiate between them while crawling a web page for deceptive patterns? To answer this question, we developed a methodology that we present and apply in this paper. Furthermore, we show that there is no need to distinguish between the two concepts, because they are implemented using the same techniques.},
    note = {},
    institution = {Universität der Bundeswehr München, Fakultät für Informatik, INF 5 - Institut für Anwendungssicherheit, Professur: Wacker, Arno},
    
    
}