Aarhus University Seal

DATALAB

  • Center for Digital Social Research

About DATALAB


DATALAB – Center for Digital Social Research is an interdisciplinary research center established in 2016 under the School of Communication and Culture at Aarhus University, Denmark. Led by Professor Anja Bechmann, the center conducts forefront research on algorithmic communication platforms and citizens, collectives, and populations in datafied societies. The center focuses on AI-powered platforms, associated socio-technical actors, patterns of agency and influence, and effects on communication flows. 

DATALAB hosts fundamental research projects that are theoretically based, empirically tested, and often including large-scale trace data. Our research has also contributed to informing decisions on policy and regulatory frameworks (e.g. in relation to platforms and AI). The projects at the center utilize a wide range of methods from computational social science often combining learning models with experiments, surveys, digital ethnography, and interviews.   

DATALAB researchers and projects share a vision and fundamental interest in creating novel methods and reinterpreting theories to better understand platforms and the modern techno-social fabric. Our projects provide novel knowledge on algorithmic and data-driven agency and societies with a particular sensitivity towards principles of democracy, human rights, and ethics.


Contact


Anja Bechmann

Center Director
anjabechmann@cc.au.dk
+45 5133 5138





Recent Publications


Sort by: Date | Author | Title

Campbell-Meiklejohn, D., Bach, D., Roepstorff, A., Dolan, R. & Frith, C. D. (2009). You Have Great Taste: Neural Coding Of Expert Opinion (And Effects On Object Value) In Reward Pathways.. Poster session presented at Social and Affective Neuroscience, New York, United States.
Evangelista Belo, J. M., Feit, A. M., Feuchtner, T. & Grønbæk, K. (2021). XRgonomics: Facilitating the Creation of Ergonomic 3D Interfaces. In CHI 2021 - Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems: Making Waves, Combining Strengths (pp. 1-11). Article 290 Association for Computing Machinery. https://doi.org/10.1145/3411764.3445349
Hove, M. F., Hjorth, F., Golovchenko, Y., Adler-Nissen, R., Bechmann, A., van Dalen, A., Hobolt, S. B. & de Vreese, C. (2025). Wrong but less confident when the stakes are high. People’s inability to identify AI-generated images.
Olesen, F. & Markussen, R. (2006). Working with Material Things: From Essentialism to Material-Semiotic Analysis of Sociotechnical Practice. In O. Dreier & A. Costall (Eds.), Doing Things with Things: The Design and Use of Everyday Objects (1 ed., pp. 167-192). Ashgate.

Latest activities



Latest Media Apperances