With Andrea Schneider. January 2023.
With Erwan Dujeancourt. September 2022.
I am an associate professor of economics at Jönköping University. 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 opinion diversity, as well as the role of social platforms for news supply and news consumption. My research often involves text-as-data techniques and methods supporting causal inference from observational data.
Jönköping International Business School, Office B5015, Gjuterigatan 5, 55318 Jönköping, Sweden
+46 36 10 1782
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.
German Economic Review, 14: 349–371, 2013.
Journal of Economic Psychology, 34: 156–168, 2013.
International Labour Review, 152: 307–326, 2013.
We’re happy to announce that the next media bias workshop will take place on March 8 and 9, 2023, at ifo Institute for Economic Research in Munich. Julia Cagé and Theresa Kuchler will deliver keynote speeches. The workshop is organized by the Research Network Economics of Media Bias. The program can be downloaded here.
In a joint project entitled “Competition, multimarket contact, and quality of local newspaper coverage”, Mart Ots and I investigate the role of competition between media outlets for news quality. We use a combination of content analysis by human coders and machine-learning techniques to construct a large-scale measure of quality of Swedish newspaper coverage. We then investigate how news quality is related to different forms of market structure and market overlaps between newspaper companies, using plausibly exogenous changes in multimarket contact for causal inference. The project is funded by the Swedish Competition Authority over three years between 2023 and 2025.
I joined a group of researchers that investigates media bias from a highly interdisciplinary perspective. The media bias group develops systems and large-scale datasets to automatically detect biased or unbalanced coverage, using methods from disciplines such as computer science, linguistics, psychology, and economics. The groups also devises new ways to visualize data, in an effort to better understand what types of bias appear in which context.
In a recent study, Greg Martin and I investigate how news about the economy influences voting decisions. We isolate the effect of the information environment from the effect of change in the underlying economic conditions themselves, by taking advantage of left-digit bias. We show that unemployment figures crossing a round-number “milestone” causes a discontinuous increase in the amount of media coverage devoted to unemployment conditions, and use this discontinuity to estimate the effect of attention to unemployment news on voting, holding constant the actual economic conditions on the ground. Milestone effects on incumbent US Governor vote shares are large and notably asymmetric: bad milestone events hurt roughly twice as much as good milestone events help.
After a successful start of the series in June 2015, the fourth Economics of Media Bias Workshop will take place on February 21-22, 2019, in Berlin, Germany. Eliana La Ferrara (Bocconi University) will deliver the keynote speech. 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.