Gerber, Hannah R2020-05-182020-05-182020-052020-04-20May 2020https://hdl.handle.net/20.500.11875/2771With technological advancement, privacy has become a concept that is difficult to define, understand, and research. Social networking sites, as an example of technological advancements, have blurred the lines between physical and virtual spaces. Sharing and self-disclosure with our networks of people, or with strangers at times, is becoming a socially acceptable norm. However, the vast sharing of personal data with others on social networking sites engenders concern over data loss, concern for unintended audience, and an opportunity for mass surveillance. Through a dialectical pluralism lens and following the comprehensive literature methodological framework, the purpose of this study was to map and define what it means to be a privacy literate citizen. The goal was to inform privacy research and educational practices. The findings of this study revealed that placing the sole responsibility on the individual user to manage their privacy is an inefficient model. Users are guided by unmasked and hidden software practices, which they do not fully comprehend. Another finding was the noticeable increase of citizen targeting and liquified surveillance, which are accepted practices in society. Liquified surveillance takes any shape; is both concreate and discrete; and it happens through complete profile data collection as well as raw data aggregation. Privacy management, as a research model or management approach, does not prevent data from leaking nor does it stop surveillance. For privacy to be successful, privacy engineering should include citizens’ opinions and require high levels of data transparency prior to any data collection software design. The implications of this study showed that privacy literacy 2.0 is a combination of several inter-connected skills, such as knowledge about the law, software, platform architecture, and the psychology of self-disclosure.application/pdfenPrivacy literacy, Privacy law, Social networking sites, Self-disclosure, Big data, Privacy management, Privacy concern.Thesis2020-05-18