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Interest in unethical user interfaces has grown in HCI over recent years,with researchers identifying malicious design strategies referred to as ''darkpatterns''. While such strategies have been described in numerous domains, welack a thorough understanding of how they operate in social networking services(SNSs). Pivoting towards regulations against such practices, we address thisgap by offering novel insights into the types of dark patterns deployed in SNSsand people's ability to recognise them across four widely used mobile SNSapplications. Following a cognitive walkthrough, experts (N=6) could identifyinstances of dark patterns in all four SNSs, including co-occurrences. Based onthe results, we designed a novel rating procedure for evaluating the malice ofinterfaces. Our evaluation shows that regular users (N=193) could differentiatebetween interfaces featuring dark patterns and those without. Such ratingprocedures could support policymakers' current moves to regulate deceptive andmanipulative designs in online interfaces.

Defending Against the Dark Arts: Recognising Dark Patterns in Social Media