Hajo Boomgaarden

Hajo Boomgaarden is Professor of Empirical Social Science Methods with a Focus on Text Analysis at the Department of Communication, and currently Dean of the Faculty of Social Sciences at the University of Vienna. Previously, he has worked as Associate Professor for Political Communication at the Amsterdam School of Communication Research and the Department of Communication at the University of Amsterdam.
Currently, Hajo Boomgaarden is principle investigator of the Media Side project of the Austrian National Election Study and in the H2020 project REMINDER (Role of European Mobility and its Impacts in Narratives, Debates and EU Reforms). He serve as deputy scientific director of the Austrian Social Science Data Archive, deputy director of the Vienna Center for Electoral Research and Scientific Board member of the European Social Survey. He is Associate Editor of the Journal of Communication. 
Hajo Boomgaarden's research interests focus on content analyses of media portrayals of politics, on media effects on political attitudes and behaviours and on methodological advances of content analysis techniques. He has (co-)authored more than 75 international journal articles and numerous book chapters on issues such as media and European integration, media election campaign and issue coverage, media effects on economic perceptions, immigration attitudes and extreme-right voting and on framing effects. 


 

Selected Publications:

Grill, C., & Boomgaarden, H. G. (2017). A Network Perspective on Mediated Europeanized Public Spheres: Assessing the Degree of Europeanized Media Coverage in Light of the 2014 EP Election. European Journal of Communication. doi: 10.1177/0267323117725971

Song, H., Nyhuis, D., & Boomgaarden, H. G. (2017). A Network Model of Negative Campaigning: The Structure and Determinants of Negative Campaigning in Multi-Party Systems. Communication Research. doi: 10.1177/0093650217712596

Lind, F., Gruber, M., & Boomgaarden, H. G. (2017). Content Analysis by the Crowd: Assessing the Usability of Crowdsourcing for Coding Latent Constructs. Communication Methods and Measures 11(3), 191-209. doi: 10.1080/19312458.2017.1317338