Online service providers offer “free” services in exchange for the personal data of its users. In the last few years there has been an increase of online industry regulations requiring service providers, such as websites and app developers, to disclosure the ways in which they collect, process and use the personal data of service users. These “privacy disclosures,” such as the privacy policy, the cookie notice and, on smart phones, the app permission request, are designed with the purpose of informing users and empowering them to control their privacy. The interaction problems with these different types of disclosure are relatively well understood – habituation, inattention and cognitive biases undermine the extent to which user consent is truly informed. Users understanding of the actual content of these disclosures, and their feelings toward it, are less well understood, though. In this paper we report the results of a mixed-method exploratory study of the privacy disclosures and compare their relative merits as a starting point for the development of more meaningful consent interactions. First, we conducted a focus group study, with 21 students from the University of Southampton, to understand behavior and privacy concerns of Millenials (those born between 1982 and 2004) in response to the these three most common types of privacy disclosure. Second, we conducted an online survey, with 100 students from the University of Southampton, to study perception and feelings towards the content of the privacy disclosures. We identify three key findings. Firstly, we find heterogeneity of user perceptions and attitudes to privacy disclosures in both studies. The results of the focus groups suggests three types of users: the scared and worried about their online privacy, who think there is an option out; the naïve, who do not understand how their personal data is collected and processed by the online service providers; and the meh, who understand the trade off but are not worried about their privacy. Secondly, we find limited ability of users to infer data processing outputs and risks based on technical explanations of particular practices, suggestions of a naïve model of “cost justification” rather cost-benefit analysis by users. Finally, we show evidence of the possibility that consent interactions are valuable in themselves as a mean to improve user perceptions of a service
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