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

  • Otto, Wolfgang, Sharmila Upadhyaya, and Stefan Dietze. 2024. "Enhancing Software-Related Information Extraction via Single-Choice Question Answering with Large Language Models." In Natural Scientific Language Processing and Research Knowledge Graphs. NSLP 2024, edited by Georg Rehm, Stefan Dietze, Sonja Schimmler, and Frank Krüger, Lecture Notes in Computer Science 14770, 289-306. Cham: Springer Nature. doi: https://doi.org/10.1007/978-3-031-65794-8_21. https://link.springer.com/content/pdf/10.1007/978-3-031-65794-8.pdf.
  • Ell, Theresia, Lydia Repke, and Henning Silber. 2024. "Personal and Technology-Based Communication and Its Impact on Mental Health From a Network Perspective." Sunbelt Conference 2024, Heriot-Watt University, Edinburgh, 2024-06-24.
  • Abdedaiem, Amin, Abdelhalim Hafedh Dahou, Mohamed Amine Cheragui, and Brigitte Mathiak. 2024. "FASSILA: A Corpus for Algerian Dialect Fake News Detection and Sentiment Analysis." In ACLing 2024: 6th International Conference on AI in Computational Linguistics, edited by Khaled Shaalan, and Samhaa El-Beltagy, Procedia Computer Science 244, 397-407. Elsevier. doi: https://doi.org/10.1016/j.procs.2024.10.214.
  • Dahou, Abdelhalim Hafedh, Mohamed Amine Cheragui, Amin Abdedaiem, and Brigitte Mathiak. 2024. "Enhancing Model Performance through Translation-based Data Augmentation in the context of Fake News Detection." In ACLing 2024: 6th International Conference on AI in Computational Linguistics, edited by Khaled Shaalan, and Samhaa El-Beltagy, Procedia Computer Science 244, 342-352. Elsevier. doi: https://doi.org/10.1016/j.procs.2024.10.208.
  • Backes, Tobias, Anastasiia Iurshina, Muhammad Ahsan Shahid, and Philipp Mayr. 2024. "Comparing free reference extraction pipelines." International Journal on Digital Libraries 25 (4): 841–853. doi: https://doi.org/10.1007/s00799-024-00404-6. https://zenodo.org/records/11072332.
  • Sapin, Marlène, and Christof Wolf. 2025. "Individual Social Capital and Health." 5th ISA Forum for Sociology, 6-11 Juli 2025, Rabat, Marokko, 2025-07-10.
  • Repke, Lydia. 2025. "Wie Europa sich die Birne wegschießt: Und woher wir das wissen." Morgen Abend Festival. Science Slam zum Thema Zusammenhalt "Von unerwarteten Anziehungskräften, instabilen Verbindungen und überraschenden Lösungen in Wissenschaft und Gesellschaft", Haus am Dom, Frankfurt am Main, 2025-07-03. https://www.boell-hessen.de/morgen-abend-festival/.
  • Burger, Axel. 2025. "Mixed feelings during election campaigns." 48th Annual Meeting of the International Society of Political Psychology (ISPP), Prague, Czech Republic, 2025-07-06.
  • Burger, Axel, Julia Weiß, and Axel Babst. 2025. "Investigating the links of political emotions with information search and avoidance using intensive longitudinal data." 48th Annual Meeting of the International Society of Political Psychology (ISPP), Prague, Czech Republic, 2025-07-04.
  • Eder, Christina. 2025. "The times they are changing? Support for green policy measures in Germany in times of uncertainty." Zeitschrift für Politikwissenschaft online first: 1-22. doi: https://doi.org/10.1007/s41358-025-00421-0.