Recent Developments in Privacy Research |
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| Coordinator 1 | Professor Peter Graeff (Christian-Albrechts-Universität Kiel ) |
| Coordinator 2 | Dr Zoltán Kmetty (Centre for Social Sciences - Hungarian Academy of Sciences) |
| Coordinator 3 | Professor Guido Mehlkop (University of Erfurt) |
| Coordinator 4 | Dr Robert Neumann (Technische Universität Dresden) |
The current age of digitization and the popularity of applying methods under the umbrella of Computational Social Sciences has put the sources of individual data and ethical aspects of research at center stage for quantitative researchers. This applies for using either reactive responses by means of informed consent or by non-reactive methods that are applied without active consent or knowledge. Furthermore, all areas of everyday life become intermingled with and affected by the responsive provision of personalized data, e.g. for algorithmic predictions based on digital traces, for influencing individual mobility decisions, for the provision of health information, for the usage of smart home applications, for the tracking of financial portfolio data or to follow the imperative of electronic payment solutions. All issues touch upon the preservation of individual privacy rights. Several recent surveys have shown that respondents are concerned about data and privacy breaches – although the privacy paradox underscores the inertia that characterizes privacy related behavior – while the measurement of incidences of privacy infringements are either underreported or remain unobserved. Research on privacy can take on many directions and this session aims at assembling researchers who address privacy issues across all domains: We welcome presentations 1) that address the empirical measurement of individual traits/attitudes that are related to privacy concerns, 2) that improve the measurement of privacy concerns beyond the (outdated) approaches proposed in the 1970s by Westin, 3) about investigations of the effect of privacy concerns on individual willingness to share personal data, 4) about approaches that help preserving participant anonymity in complex and granular digital datasets and 5) report quantitative evidence about incidence of privacy infringement. 6) Most importantly, we call for experimental designs– either in the field or implemented within surveys – that investigate privacy related behavior and decision making in the most general sense.