Carsten Schwemmer

Professor of Computational Social Sciences

Ludwig Maximilian University of Munich

Biography

I am a Professor of Sociology and Computational Social Sciences at the Ludwig Maximilian University of Munich. My work focuses on applying computational methods to interdisciplinary research in areas such as ethnic minority & gender studies, digital media, political communication, and sociotechnical systems. I am particularly interested in methods related to natural language processing, image recognition, and data mining.

Results of my work have been published in journals such as Computers in Human Behavior, European Sociological Review, Sociology, Social Media + Society, and European Journal of Political Research.

In addition to research, I have held courses and workshops on Data Analysis, Data Mining, Quantitative Text Analysis, and Political Sociology at several universities and institutes in Amsterdam, Bamberg, Berlin, Konstanz, and Stuttgart.

Publications

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A. Mathur, A. Wang, C. Schwemmer, M. Hamin, B. Stewart, A. Narayanan (2022). Manipulative practices are the norm in political emails: evidence from 100K emails from the 2020 U.S. election cycle. Working Paper.

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C. Schwemmer, S. Unger, R. Heiberger (2022). Automated Image Analysis for Studying Online Behaviour. Research Handbook of Digital Sociology (forthcoming).

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M. Riedl, C. Schwemmer, S. Ziewiecki, L. Ross (2021). The Rise of Political Influencers - Perspectives on a Trend Towards Meaningful Content. Frontiers in Communication.

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C. Schwemmer (2021). The Limited Influence of Right-Wing Movements on Social Media User Engagement. Social Media and Society.

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J. Fernandes, T. Saalfeld, C. Schwemmer (2021). The Politics of Select Committee Assignments in the British House of Commons. Legislative Studies Quarterly.

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C. Schwemmer, C. Knight, E. Bello-Pardo, S. Oklobdzija, M. Schoonvelde, J. Lockhart (2020). Diagnosing Gender Bias in Image Recognition Systems. Socius.

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C. Schwemmer, O. Wieczorek (2020). The Methodological Divide of Sociology - Evidence From Two Decades of Journal Publications. Sociology.

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S. Ziewiecki, C. Schwemmer (2019). The networking of influencers - an analysis of the German YouTube scene. Merz Wissenschaft.

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D. Fischer-Preßler, C. Schwemmer, K. Fischbach (2019). Collective Sense-Making in Times of Crisis: Connecting Terror Management Theory with Twitter Reactions to the Berlin Terrorist Attack. Computers in Human Behavior.

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C. Schwemmer, S. Jungkunz (2019). Whose ideas are worth spreading? The representation of women and ethnic groups in TED talks. Political Research Exchange.

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J. Leschke, C. Schwemmer (2019). Media Bias Towards African-Americans Before and After the Charlottesville Rally. Proceedings of the Weizenbaum Conference 2019: ‘Challenges of Digital Inequality - Digital Education, Digital Work, Digital Life’.

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S. Jungkunz, M. Helbling, C. Schwemmer (2019). Xenophobia before and after the Paris 2015 Attacks. Evidence from a Natural Experiment. Ethnicities.

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J. M. Fernandes, L. Geese, C. Schwemmer (2019). The Impact of Candidate Selection Rules and Electoral Vulnerability on Legislative Behavior in Comparative Perspective. European Journal of Political Research.

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L. Geese, C. Schwemmer (2019). MPs' Principals and the Substantive Representation of Disadvantaged Immigrant Groups. West European Politics.

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J. M. Fernandes, C. Leston-Bandeira, C. Schwemmer (2018). Election proximity and representation focus in party-constrained environments. Party Politics.

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J. D. Tjaden, C. Schwemmer, M. Khadjavi (2018). Ride with Me - Ethnic Discrimination, Social Markets and the Sharing Economy. European Sociological Review.

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C. Schwemmer, S. Ziewiecki (2018). Social Media Sellout - The Increasing Role of Product Promotion on YouTube. Social Media and Society.

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D. Fischer-Preßler, C. Schwemmer, K. Fischbach (2018). Terror Management and Twitter: The Case of the 2016 Berlin Terrorist Attack. The 15th International Conference on Information Systems for Crisis response and Management.

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F. Fitsilis, T. Saalfeld, C. Schwemmer (2017). Content Reconstruction of Parliamentary Questions. Combining Metadata with an OCR Process. The 5th International Virtual Conference on Advanced Scientific Results.

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