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

Cho, S., Fusaroli, R., Pelella, M. R., Tena, K., Knox, A., Hauptmann, A., Covello, M., Russell, A., Miller, J., Hulick, A., Uzokwe, J., Walker, K., Fiumara, J., Pandey, J., Chatham, C., Cieri, C., Schultz, R. T., Liberman, M. & Parish-Morris, J. (2022). Identifying stable speech-language markers of autism in children: Preliminary evidence from a longitudinal telephony-based study. In A. Zirikly, D. Atzil-Slonim, M. Liakata, S. Bedrick, B. Desmet, M. Ireland, A. Lee, S. MacAvaney, M. Purver, R. Resnik & A. Yates (Eds.), CLPsych 2022 - 8th Workshop on Computational Linguistics and Clinical Psychology: Proceedings of the workshop (pp. 40-46). Association for Computational Linguistics. https://aclanthology.org/2022.clpsych-1.pdf
Thai Son, M., Jacobsen, J., Amer-Yahia, S., Spence, I., Tran, P., Assent, I. & Viet Hung Nguyen, Q. (2022). Incremental Density-based Clustering on Multicore Processors. I E E E Transactions on Pattern Analysis and Machine Intelligence, 44(3), 1338-1356. https://doi.org/10.1109/TPAMI.2020.3023125
Nielbo, K. L., Baglini, R. B. & Roepstorff, A. (2022). Information Decoupling as a Pandemic Signature in News Media. Abstract from Digital Humanities in the Nordic and Baltic Countries Conference (DHNB 2022), Uppsala, Sweden. https://dhnb.eu/wp-content/uploads/2022/03/DHNB2022_book_of_abstracts.pdf
Brems, M. (2022). In the Party’s Secret Service? How the news selection and sourcing practices of party-affiliated alternative news media serve party-political interests. Paper presented at 72nd Annual International Communication Association Conference, Paris, France.

Latest activities



Latest Media Apperances