Data-driven political campaigns are on the rise. Concerns have been voiced that practices like online political microtargeting techniques are harmful to democracy. These concerns grew after the unexpected outcome of the US presidential elections in 2016, the Brexit vote in the UK, and several recent elections in Europe. However, it is unclear if data-driven campaigns using online microtargeting techniques are an actual threat to democracy. Political microtargeting can invade privacy, exclude social groups, and depress turnout during elections. However, political targeting may, for instance, reach citizens who are difficult to reach via traditional campaigning, as it can also provide relevant information on issues that individuals find important. In that way, it could mobilize more people to vote, leading to increased inclusiveness and diversity. HUNTING investigates the negative and positive effects of online data-driven targeting and digital persuasion in five countries, and the project examines the conditions under which data-driven techniques affect citizens’ attitudes, opinions, and, eventually, voting behavior. In light of ongoing political and societal turmoil, investigating how citizens may be persuaded in a changing media landscape has never been of more importance.
The overarching objective of this project is to identify the conditions and the extent to which data-driven online political microtargeting affects citizens’ attitudes and opinions, and eventually voting behavior. The project addresses three research questions: To what extent and under which conditions does data-driven political targeting have a beneficial impact, and under which conditions a harmful impact on democracy? And how can the beneficial effects trump the harmful effects? The project is novel as it systematically analyses the impact of data-driving campaigning, providing a theoretical dual-processing model, while using a mixture of research methods and a comparative perspective. As a whole, the project will offer a deeper understanding of the global impact of online data-driven targeting techniques during elections in several countries.