Photo of Marc Keuschnigg

Marc Keuschnigg

Professor

Analytical sociologist applying the toolbox of computational social science to cultural dynamics, social norms, and urban inequality. Professor at Linköping University and Leipzig University.

Short presentation

I am Professor at The Institute for Analytical Sociology and at Leipzig University, member of the steering group of the Swedish Excellence Center for Computational Science, Vice-President of the International Network of Analytical Sociology, and elected fellow of the European Academy of Sociology.

At the IAS, I am involved in three research groups:

The text analysis group studies dynamics of public discourse. Using digitized corpora as social sensors, our research explores swings in public opinion and shared interpretations of societal developments and events.

The cultural dynamics group looks at cultural markets and social media platforms as testbeds for socially influenced behavior. One research question is whether social influence can change people’s behavior—and thus render collective outcomes socially produced. Other research questions concern the spread of misinformation and the politicization of culture.

The spatial inequality group investigates the self-reinforcing dynamics of urban growth, the pace of life in cities, and the escalating urban-rural divide in economic prosperity and individual life chances.

Online presence

Selected works

Three recent publications

Three often cited works

Publications

2026

Martin Arvidsson, Pablo Bello, Marc Keuschnigg (2026) The structural origins of the conservative online media niche, US Twitter 2022 NETWORK SCIENCE, Vol. 14, Article e8 (Article in journal) https://dx.doi.org/10.1017/nws.2026.10029
Miriam Hurtado Bodell, Marc Keuschnigg, Ana Macanovic, Anastasia Menshikova (2026) Computational Text Analysis for Building and Testing Social Theory Kölner Zeitschrift für Soziologie und Sozialpsychologie (Article in journal) https://dx.doi.org/10.1007/s11577-026-01065-w
Miriam Hurtado Bodell, Måns Magnusson, Marc Keuschnigg (2026) Seeded Topic Models in Digital Archives: Analyzing Interpretations of Immigration in Swedish Newspapers, 1945-2019 Sociological Methods & Research, Vol. 55, p. 120-156 (Article in journal) https://dx.doi.org/10.1177/00491241241268453

2025

Martin Arvidsson, Peter Hedström, Benjamin Jarvis, Marc Keuschnigg (2025) On the intersection of analytical sociology and computational social science Handbook of Computational Social Science, p. 56-71 (Chapter in book) https://dx.doi.org/10.4337/9781802207309.00011
Martin Arvidsson, Peter Hedström, Marc Keuschnigg (2025) Wide Social Influence and the Emergence of the Unexpected: An Empirical Test Using Spotify Data Sociological Science, Vol. 12, p. 715-742 (Article in journal) https://dx.doi.org/10.15195/v12.a29

Research

Coworkers

News

A number of different graphs on a white background.

The structural origins of the conservative online media niche

Why is conservative online news a niche phenomenon while liberal media travels across party lines? A new study finds the answer in platform user composition rather than in behavioral differences between ideological groups.

A woman looking at her mobilephone.

Wide social influence can make the unexpected happen

Sociologists from Linköping University analyse Spotify data to learn about the spreading of music and cultural change more generally.

IAS conference in Computional Social Science

International Conference for Computational Social Science (IC2S2) 2025 in Norrköping

The Swedish Excellence Center for Computational Social Science and the Institute for Analytical Sociology hosted the 11th International Conference for Computational Social Science (IC2S2) in Norrköping, Sweden, on July 21-24, 2025.

Organisation