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      Privacy Is Dead, Long Live Privacy! : Two Diverging Perspectives on Current Issues Related to Privacy

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          Abstract

          Abstract. Privacy is a hotly debated topic in academia and society. The digitalization of our world has had enormous implications for our privacy. Some researchers and public figures agree that privacy has changed substantially, that we are living in a post-privacy world, and that we need to address privacy differently. Conversely, others maintain that privacy remains a relevant concept in our society, and that, although facets and degrees of privacy change, the conceptual core and societal relevance remain unchanged and intact. In this paper, we discuss the current state and future of privacy, presenting two opposing stances on four central questions: Has privacy changed? Is privacy dead? Have we lost control over our own privacy? How should we react? With this dialogue we hope to provide an overview of current positions on privacy by presenting divergent lines of reasoning and thinking, while outlining potential paths forward.

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          Most cited references50

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          Private traits and attributes are predictable from digital records of human behavior.

          We show that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.
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            Networked privacy: How teenagers negotiate context in social media

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              Online Privacy Concerns and Privacy Management: A Meta-Analytical Review

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                Author and article information

                Contributors
                Journal
                zmp
                Journal of Media Psychology
                Hogrefe Publishing
                1864-1105
                2151-2388
                October 13, 2022
                Affiliations
                [ 1 ]Department of Communication, University of Vienna, Austria
                [ 2 ]Department Survey Data Curation, GESIS – Leibniz Institute for the Social Sciences, Cologne, Germany
                [ 3 ]Team Research Data and Methods, Center for Advanced Internet Studies (CAIS), Bochum, Germany
                Author notes
                Tobias Dienlin, Department of Communication, University of Vienna, Währingerstraße 29, 1090 Vienna, Austria tobias.dienlin@ 123456univie.ac.at
                Author information
                https://orcid.org/0000-0002-6875-8083
                https://orcid.org/0000-0001-5906-7873
                Article
                zmp_a000357_-1_1
                10.1027/1864-1105/a000357
                2865325a-f55a-4987-a071-6865f009db06
                Copyright @ 2022
                History
                : June 29, 2022
                : July 3, 2022
                Categories
                Theoretical Article

                Psychology,Communication & Media studies
                privacy calculus,social networking sites,privacy online,privacy paradox,social media,control

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