Empirical Microeconomics | Public Economics | Political Economy
Hamburg Media School, Finkenau 35, 22081 Hamburg, Germany
I am a senior research scientist at Hamburg Media School, Germany, and a research fellow at the University of Hamburg’s Institute for Media Economics. Most of my work focuses on the economics of news markets, especially from an empirical perspective. I am particularly interested in issues with political implications, such as media slant and negativity. My research is often based on panel data and emphasizes the identification of causal effects.
Hamburg Media School, Office 224, Finkenau 35, 22081 Hamburg, Germany
+49 40 413468 34
With Verena Pagels. March 2018.
With A. Rott and M. Wass von Czege. Journal of Broadcasting & Electronic Media, 59: 169–183, 2015.
With M. Arango-Kure and A. Rott. Journal of Media Economics, 27: 199–214, 2014.
Public Choice, 161: 499–515, 2014.
3rd Economics of Media Bias Workshop
After a successful start of the series in June 2015, the third Economics of Media Bias Workshop will take place on February 15-16, 2018, in Cologne, Germany. James M. Snyder, Jr. (Havard) and Ruben Durante (Sciences Po/Universitat Pompeu Fabra) are confirmed to deliver keynote speeches. The workshop, which is organized by my colleagues and me, addresses the forms, causes, and consequences of media bias, especially in news markets. The program can be downloaded here. Posted: Sep. 05, 2017 (updated: Jan. 15, 2018)
Slant of German News Outlets on Facebook
In a current working paper, my co-authors and I use text mining techniques to investigate the political bias of Facebook news pages. Our sample consists of 84 German news outlets, including all national newspapers and news magazines, several regional newspapers, as well as the most important newscasts and online news portals. We analyze the language of more than 2 million Facebook posts by these outlets and compare it with the language used by the main political parties – AfD, CDU/CSU, FDP, Grüne, Linke, NPD, Piraten, and SPD – in their election programs. Measures of text similarity allow us to approximate the ideological congruence between the Facebook news pages and the parties. For example, this measure can be used to determine the outlets’ position in the political left-right spectrum, as shown below. Posted: Nov. 30, 2017 (updated: May 18, 2018)
Investigating the “Hoeneß effect”
Research Network obtains funding from the German Research Foundation (DFG)
My colleagues and I have been working on topics related to media bias for some time already. The German Research Foundation (DFG) recently agreed to support a proposal for an international, scientific network. The Research Network Economics of Media Bias promotes the discussion of ideas and work in the area, and it aims at integrating young researchers by connecting them with more experienced economists. As part of the network, it will be possible to continue the series of workshops “Economics of Media Bias”. Posted: Apr. 14, 2016