New publication by Tom Dobber, Damian Trilling, Natali Helberger, and Claes de Vreese in Internet Policy Review. Read the abstract below.
Abstract:
Political campaigns increasingly use data to (micro)target voters with tailored messages. In doing so, campaigns raise concerns about privacy and the quality of the public discourse. Extending existing research to a European context, we propose and test a model for understanding how different contextual factors hinder or facilitate data-driven capabilities of campaigns. We applied the model during the 2017 national election campaign in the Netherlands. The results show how data-driven targeting techniques are not only useful in a first-past-the-post system, but also in a proportional representation system, which at first sight seems to be less suitable for such techniques.