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Privacy research is divided in distinct communities and rarely considered as a singular field. This is harmful to its disciplinary identity. We used a bibliometric network analysis as a quantitative technique to investigate the privacy research community by its collective output and identify its core theories. The network consists of 83,159 publications with 462,633 internal references in 90 distinct topics. The 112 most influential publications in the privacy research community were selected through centrality measures, providing 11 core theories that see widespread adoption in privacy research. We found a gap between research on the individual and organisational levels of analysis, finding the latter underrepresented in the field's influential theories. We propose the Pillars of Privacy framework as a high-level multilevel framework for privacy research. The framework classifies core theories on four levels of analysis along three pillars of privacy research: Privacy Concern, Privacy Calculus and Behavioural Outcomes.



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