Research

GESIS - for a research-based infrastructure

GESIS is a research-based infrastructure institution for the social sciences and conducts its own continuous and interdisciplinary research in four major research areas. The results of our research serve both to gain scientific knowledge and to sustainably improve our offerings for the social sciences.

For GESIS, the quality of data takes center stage. GESIS strives to provide high-quality research data as well as methods and tools that enable users to assess for themselves how high the quality of research data is.

With our research work in the areas of Survey Methodology, Computational Methods, Research Data Management and Substantive Research, we are constantly expanding and optimizing our portfolio of services, with which we support researchers who work with quantitative data on social science issues and make their own contributions to fundamental substantive issues.

Research work at GESIS

  • Münch, Felix Victor. 2026. "From Reputation Accumulation to Resonance Mining: Shifting Social Media Influence Mechanics in Times of Heteronomous Algorithmic Curation." The Impact of Social Media on Democracy: Final conference of the EU project "Social Media for Democracy (SoMe4Dem) - Understanding the causal mechanisms of digital citizenship" , Harnack-Haus der Max-Planck-Gesellschaft, Berlin, 2026-01-15. https://some4dem.eu/activities/event-series/the-impact-of-social-media-on-democracy.
  • Bleier, Arnim, and Felix Victor Münch. 2025. "Demo of the GESIS Methods Hub." 2025 NFDI4DS Conference, Fraunhofer-Institut für Offene Kommunikationssysteme FOKUS, Berlin, 2025-11-25.
  • Münch, Felix Victor. 2025. "Tik-Talk-Tok - Messung von Resonanzen zwischen politischen Fernseh-Talkshows und TikTok-Kanälen öffentlicher Sprecher während der Bundestagswahl 2025." Informationsräume im Umbruch: Desinformation, politische Influencer und mediale Strategien in Krisenzeiten, Zentrum Informationsarbeit Bundeswehr, Berlin, 2025-11-27.
  • Twyman, Marlon, Sarah Rajtmajer, Vivek Kumar Singh, Fred Morstatter, Haiming Liu, Jun Sun, Katherine Ognyanova, and Matthew S. Weber, ed. 2025. Websci '25: Proceedings of the 17th ACM Web Science Conference 2025. New York: Association for Computing Machinery. doi: https://doi.org/10.1145/3717867.
  • Otto, Wolfgang, Lu Gan, Sharmila Upadhyaya, Saurav Karmakar, and Stefan Dietze. 2026 (Forthcoming). "GSAP-ERE: Fine-Grained Scholarly Entity and Relation Extraction Focused on Machine Learning." In Proceedings of the 40th AAAI Conference on Artificial Intelligence (AAAI-26), Proceedings of the Conference on Artificial Intelligance (AAAI). Washington DC: AAAI Press.
  • Weick, Stefan. 2011. "Soziologische Analysen zu Armut und Einkommensungleichheit." Marburg. WS 2010/2011: 2 SWS.
  • Noll, Heinz-Herbert, and Stefan Weick. 2011. "Wiederkehr der Altersarmut in Deutschland? Empirische Analysen zu Einkommen und Lebensstandard im Rentenalter." In Die Alten der Welt, edited by Lutz Leisering, 45-76. Frankfurt am Main: Campus-Verl..
  • Lenzner, Timo, Lars Kaczmirek, and Mirta Galesic. 2011. "Seeing through the eyes of the respondent: an eye-tracking study on survey question comprehension." International Journal of Public Opinion Research 23 (3): 361-373. doi: https://doi.org/10.1093/ijpor/edq053.
  • Löther, Andrea. 2012. "Retrospective analyses of the scientific qualification: findings on disciplinary differences." In The scientific and technological careers of women and men: private temporalities, professional temporalities; public and corporate policies, edited by André Béraud, and Yvonne Porrat, 35-47. Rotterdam: Sense Publ..
  • Mutschke, Peter. 2010. "Zentralitätsanomalien und Netzwerkstruktur: ein Plädoyer für einen „engeren“ Netzwerkbegriff und ein community-orientiertes Zentralitätsmodell." 2. Aufl.. In Netzwerkanalyse und Netzwerktheorie : ein neues Paradigma in den Sozialwissenschaften, edited by Christian Stegbauer, 261-272. Wiesbaden: VS Verl. für Sozialwiss..