Dark patterns are interfaces which use the psychology of users to convince them to behave in ways which are not in their best interest, often to the benefit of the provider of the interface. Dark patterns are a type of user interface manipulation in websites and applications to nudge or trick users into doing something that the website owner benefits from at the user’s expense such as enrolling them in a service, collecting sensitive information or for achieving various monetary gains through purchases by misdirection or confusing the user. Examples of dark patterns include charging people on a free trial by checking the wrong account, buttons that look like they allow you to opt-out, requiring you to create a new account on a site that you already have an account on or convoluting privacy settings. With the proliferation of the Internet and the growth of social media, the identification of these abusive behaviors is a significant research challenge. Manual detection is difficult because websites frequently update their design and new types of dark patterns continue to appear. PhishMe Scan identifies potentially malicious design elements such as button labels, pop-up messages and webpage layout to determine if they exhibit characteristics of social engineering deception. The technology applies advanced Natural Language Processing (NLP) techniques to text elements and machine learning-based classification to understand and identify suspicious patterns. Our approach can be used to detect unethical interface design and help achieve more transparent and ethical technology.
Dark Pattern, Machine Learning, NLP, UI Analysis, Ethical Design.
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