Chair of Computational Social Science
© Sven Ellger
Professor for Computational Social Science
NameMr Prof. Dr. Philipp Lorenz-Spreen
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Philipp Lorenz-Spreen examines how digital media, online platforms, and algorithmic systems are transforming society and democracy. His work focuses on political discourse, opinion formation, polarization, collective attention, and the dissemination of information. He investigates how human behavior, social networks, and the design of digital platforms interact.
His research combines communication studies, social sciences, and complexity science. To this end, he uses online experiments, field studies, large platform datasets, and computer simulations. His methods include network analysis, time-series analysis, causal inference, agent-based modeling, and computer-assisted text analysis. Another goal is the development of digital spaces that better support informed decision-making, civic participation, and democratic debate.
- Digital media and democracy
- How public opinion forms online
- Political communication on online platforms
- Polarization, populism, and institutional trust
- Misinformation and disinformation
- Collective attention and information dynamics
- Recommendation algorithms and platform design
- Digital public spaces and platform regulation
- Human decision-making in digital information environments
- Generative AI and public discourse
- Computational Social Science
- Network research and complex social systems
- Borukhson, D., Fegert, J., und Lorenz-Spreen, P. 2026. Diverging associations of traditional versus social media with government trust. Humanities and Social Sciences Communications, 13, Artikel 1157. (https://doi.org/10.1057/s41599-026-08323-4)
- Scharfbillig, M., Lewandowsky, S., Altay, S., Van Alstyne, M., Kozyreva, A., Hertwig, R., Lorenz-Spreen, P. und weitere. 2026. Fractured reality. How democracy can win the global struggle over the information space. Publications Office of the European Union. (https://doi.org/10.2760/9358883)
- Oswald, L., Schulz, W. S., und Lorenz-Spreen, P. 2025. Disentangling participation in online political discussions with a collective field experiment. Science Advances, 11, Artikel eady8022. (https://doi.org/10.1126/sciadv.ady8022)
- Nickl, P., Moussaïd, M., und Lorenz-Spreen, P. 2025. The evolution of online news headlines. Humanities and Social Sciences Communications, 12, Artikel 364. (https://doi.org/10.1057/s41599-025-04514-7)
- Bak-Coleman, J. B., Lewandowsky, S., Lorenz-Spreen, P., Narayanan, A., Orben, A., und Oswald, L. 2025. Moving towards informative and actionable social media research. arXiv. (https://doi.org/10.48550/arXiv.2505.09254)
- Kozyreva, A., Lorenz-Spreen, P., Herzog, S. M. und weitere. 2024. Toolbox of individual-level interventions against online misinformation. Nature Human Behaviour, 8, 1044 bis 1052. (https://doi.org/10.1038/s41562-024-01881-0)
- Grüning, D. J., Kamin, J., Panizza, F., Katsaros, M., und Lorenz-Spreen, P. 2024. A framework for promoting online prosocial behavior via digital interventions. Communications Psychology, 2, Artikel 6. (https://doi.org/10.1038/s44271-023-00052-7)
- Lorenz-Spreen, P., Oswald, L., Lewandowsky, S., und Hertwig, R. 2023. A systematic review of worldwide causal and correlational evidence on digital media and democracy. Nature Human Behaviour, 7, 74 bis 101. (https://doi.org/10.1038/s41562-022-01460-1)
- Grüning, D. J., Riedel, F., und Lorenz-Spreen, P. 2023. Directing smartphone use through the self-nudge app one sec. Proceedings of the National Academy of Sciences, 120, Artikel e2213114120. (https://doi.org/10.1073/pnas.2213114120)
- Kozyreva, A., Herzog, S. M., Lewandowsky, S., Hertwig, R., Lorenz-Spreen, P., Leiser, M., und Reifler, J. 2023. Resolving content moderation dilemmas between free speech and harmful misinformation. Proceedings of the National Academy of Sciences, 120, Artikel e2210666120. (https://doi.org/10.1073/pnas.2210666120)
- Helfmann, L., Djurdjevac Conrad, N., Lorenz-Spreen, P., und Schütte, C. 2023. Modelling opinion dynamics under the impact of influencer and media strategies. Scientific Reports, 13, Artikel 19375. (https://doi.org/10.1038/s41598-023-46187-9)
- Lorenz-Spreen, P., Lewandowsky, S., Sunstein, C. R., und Hertwig, R. 2020. How behavioural sciences can promote truth, autonomy and democratic discourse online. Nature Human Behaviour, 4, 1102 bis 1109. (https://doi.org/10.1038/s41562-020-0889-7)
- Baumann, F., Lorenz-Spreen, P., Sokolov, I. M., und Starnini, M. 2020. Modeling echo chambers and polarization dynamics in social networks. Physical Review Letters, 124, Artikel 048301. (https://doi.org/10.1103/PhysRevLett.124.048301)
- Lorenz-Spreen, P., Geers, M., Pachur, T., Hertwig, R., Lewandowsky, S., und Herzog, S. M. 2021. Boosting people’s ability to detect microtargeted advertising. Scientific Reports, 11, Artikel 15541. (https://doi.org/10.1038/s41598-021-94796-z)
- Lorenz-Spreen, P., Mønsted, B. M., Hövel, P., und Lehmann, S. 2019. Accelerating dynamics of collective attention. Nature Communications, 10, Artikel 1759. (https://doi.org/10.1038/s41467-019-09311-w)
| Since 2026 |
TRACE. Transparent Research on Algorithmic Content Exposure in Europe. |
| Since 2026 | BridgEU. The project is testing recommendation systems that evaluate content based on more than just user interaction. These systems are also designed to consider whether posts reach people with different perspectives. Funded by SPRIND. |
| 2023–2026 |
SoMe4Dem. Social Media for Democracy. |
| 2021–2025 | Reclaiming Individual Autonomy and Democratic Discourse Online. How to Rebalance Human and Algorithmic Decision-Making. Funded by the Volkswagen Foundation. The collaborative project investigated how people can make better decisions and gain more control in digital information environments. |
| since 09/2026 |
Professor of Computational Social Science at TU Dresden. Jointly affiliated with the Institute of Media and Communication and SynoSys. |
| since 2026 | Founding member of the Open Social Web Alliance. |
| since 2025 | Fellow in the Computational Social Science Fellowship Program at LMU Munich. |
| since 10/2024 |
Head of the Computational Social Science research group at SynoSys, TU Dresden. Research Associate in the Adaptive Rationality Research Division at the Max Planck Institute for Human Development. |
| since 2021 | Member of the Board of Directors of the Prosocial Design Network. |
Academic Positions
| since 09/2026 | Professor of Computational Social Science, Institute of Media and Communication and SynoSys, TU Dresden. |
| Oct. 2024 – Aug. 2026 | Director of the Early-Career Research Group in Computational Social Science, SynoSys, TU Dresden. |
| 2021–2024 | Researcher at the Center for Adaptive Rationality, Max Planck Institute for Human Development, Berlin. |
| 2019–2021 | Postdoctoral Fellow in the Adaptive Rationality Research Division, Max Planck Institute for Human Development. |
Education
| 2018 | Ph.D. (Dr. rer. nat.) in Theoretical Physics, Technical University of Berlin. Topic of the dissertation: The dynamics of collective attention. |
| 2016 | Master of Science in Physics, Ludwig Maximilian University of Munich. |
| 2013 | Bachelor of Science in Physics, Ludwig Maximilian University of Munich. |
| 2024 | Rising Star of the Association for Psychological Science. |
| 2021 | Leopoldina Prize for Young Scientists from the National Academy of Sciences Leopoldina. |
- Introduction to Computational Social Science, Summer Semester 2025, Winter Semester 2025, and Summer Semester 2026.
- Methods for Computational Social Sciences, Summer Semester 2025 and Summer Semester 2026. Co-taught with Dr. Sami Nenno.
Text-based
- April 2026. Science. To misinformation researchers, AI is a scourge and a powerful new tool.
- 2. Dezember 2025. dpa bei DIE ZEIT. Belangloses in Serie. Scrollen Kinder sich um den Verstand?
- 27. November 2025. Science Media Center Germany. Soziale Medien. X Posts können Polarisierung verstärken
- 21. Oktober 2025. Frankfurter Allgemeine Zeitung. Algorithmen unter der Lupe. EU zwingt soziale Medien zu Transparenz.
- 29. August 2025. SZ Dossier. Social Media als öffentliche Infrastruktur.
- 10. April 2025. Max Planck Gesellschaft. Spaltende, emotionale und negative Inhalte sind besonders erfolgreich.
- 26. März 2025. absatzwirtschaft. Marken und Social Media. Warum Werbung heute politisch ist.
- 24. Februar 2025. The Independent. Elon Musk wants the far right AfD to win the German election. Here’s how he became their champion.
- 5. Februar 2025. Frankfurter Rundschau. Tausende demonstrieren friedlich gegen AfD. X sieht nur Terroristen.
- 23. Februar 2025. Washington Post. How Elon Musk used X to amplify Germany’s AFD ahead of election.
- 23. September 2024. GESIS. Expert Insights into Social Media and Democracy.
- April 2024. Max Planck Forschung. Unfreiheit in den sozialen Medien.
Audio and Video
- 02.09.2026. Deutschlandfunk Kultur. Demokratie – Wie Social Media Wahlen prägt.
- 17.07.2026. Reschke Fernsehen. Banal & Teuer: Was die Regierung auf Social Media treibt.
- 30. Juni 2026. Arte. Agree to Disagree. Social Media: Gefahr für die Gesellschaft?.
- 10. Juli 2025. Deutschlandfunk, Systemfragen. Warum online so viele Menschen schweigen.
- 28. Mai 2025. re:publica 25. Gesellschaftliche Kipppunkte. Die Spirale aus Aufmerksamkeit und Plattformmacht und wie wir da noch rauskommen.
- 16. April 2025. TU Dresden entdecken. Ist Social Media ein Problem für die Demokratie? 🤳 | Gute Frage über Filterblasen, Memes & Fake News.
- 20. Februar 2025. detektor.fm, Forschungsquartett. Warum sind wir so anfällig für Fehlinformationen?
- 15. Februar 2025. radioeins, Die Profis. Wer fällt eher auf Fehlinformationen herein und warum?
- 11. Februar 2025. WDR 5 Morgenecho. Online Wahlkampf. Digitalen Raum demokratisch gestalten.
- 19. Dezember 2024. TU Dresden entdecken. Gefährden Deepfakes die Demokratie? 🫥 | Faktencheck mit Dr. Philipp Lorenz-Spreen.
- 10. Dezember 2022. ARD alpha, Campus Talks. Wie können wir Demokratie in sozialen Medien schaffen?