In the thesis I apply Beck's Risk Society perspective to the study of datafication. Results of four empirical studies show how some elements of the reflexive modernization theory do not pass the empirical test. First, a country's level of digitalization does not deepen knowledge-based stratification mechanisms. Second, individuals' trust in data institutions does not drop when the pitfalls of datafication become visible, challenging the `worked-and-won' dynamic of trust in the risk society. Nevertheless, I also show how the Risk Society perspective is beneficial to better understand some aspects of the datafication processes, as findings indicate the success of organized irresponsibility dynamics, as well as the important role of knowledge as a risk stratification mechanism at the individual level.
Promotor
prof. dr. P.H.J. Achterberg, Tilburg University
Copromotor
dr. A.R.C.M. Luijkx, Tilburg University \& University of Trento
Promotiecommissie
prof. dr. G.A. Veltri, University of Trento
prof. dr. Y.J. Park, Howard University
prof. dr. M.E.H. van Reisen, Tilburg University
prof. dr. W. de Koster, Erasmus University Rotterdam
prof. dr. S.M.E. Wyatt, Maastricht University
Datafication and Risks
The Risk Society
The contribution of the thesis: understanding the datafied risk society
Introduction
Theoretical background
Data and methods
Results
Conclusion and Discussion
Introduction
Accepting the COVID-19 Health Pass
The present study
Data and Methods
Results
Conclusion and Discussion
Introduction
The educational gap in e-privacy management
Data and methods
Results
Summary of findings and Discussion
Introduction
Explaining acceptance of surveillance
Data and Method
Results
Discussion
The Datafied Risk Society
Limitations and future work
Concluding remarks
Test of proportional odds
Question wording
Additional results
Non-Internet users
Alternative operationalization of Reflexive mindset
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Published by Open Press Tilburg University,
Tilburg, the Netherlands
Typesetting & design by Thomas F. K. Jorna