ZeMKI Lab Socio-technical systems and critical data studies Research Publications Selected publications: Li, Y., Zeng, J., Puschmann, C., & Breiter, A. (2024). Computational Approaches to Visual Framing in Communication Studies. Paper presented at the 74th Annual Conference of the International Communication Association Broadbeach, Queensland. Molina León, G., Isenberg, P., & Breiter, A. (2023). Eliciting Multimodal and Collaborative Interactions for Data Exploration on Large Vertical Displays. Transactions on Visualization and Computer Graphics. doi:10.1109/TVCG.2023.3323150 Zakharova, I., Jarke, J., & Breiter, A. (2022). Affinity Spaces as an Analytical Lens for Attending to Temporality in Critical Data Studies: The Case of COVID-19-Related, Educational Twitter Communication. In A. Hepp, J. Jarke, & L. Kramp (Eds.), New Perspectives in Critical Data Studies. The Ambivalences of Power (pp. 345-370). Cham: Palgrave Macmillan. Molina León, G., Skitalinskaya, G., Düpont, N., Klaff, J., Schlegel, A., Heuer, H., & Breiter, A. (2022, 27 Juni – 1 Juli 2022). Co-Creating a Research Data Infrastructure with Social Policy Researchers. Paper presented at the Proceedings of the 20th European Conference on Computer Supported Cooperative Work, Coimbra, Portugal. Jarke, J., Zakharova, I., & Breiter, A. (2022). Organisational Data Work and Its Horizons of Sense: On the Importance of Considering the Temporalities and Topologies of Data Movement When Researching Digital Transformation(s). Historical Social Research, 47(3), 142-170. doi:https://dx.doi.org/10.12759/hsr.47.2022.29 Heuer, H., Jarke, J., & Breiter, A. (2021). Machine Learning in Tutorials [– Universal Applicability, Underinformed Application, and Other Misconceptions]. Big Data & Society. doi:10.1177/20539517211017593 Heuer, H., Hoch, H., Breiter, A., & Theocharis, Y. (2021). Auditing the Biases Enacted by YouTube for Political Topics in Germany. Paper presented at the Mensch und Computer, Ingolstadt. Hartong, S., & Breiter, A. (2021). Between fairness optimization and ‘inequalities of dataveillance’. In S. Grek, C. Maroy, & A. Verger (Eds.), World Yearbook of Education 2021. Accountability and Datafication in the Governance of Education (pp. 54-71). London: Routledge. Krieter, P., Viertel, M., & Breiter, A. (2020). We Know What You Did Last Semester. Paper presented at the 15th European Conference on Technology Enhanced Learning (EC-TEL 2020). Heuer, H., & Breiter, A. (2020). More Than Accuracy: Towards Trustworthy Machine Learning Interfaces for Object Recognition. Paper presented at the 28th ACM Conference on User Modeling, Adaptation and Personalization (UMAP 20), Genoa, Italy. Jarke, J., & Breiter, A. (2019). Editorial: the datafication of education. Learning, Media and Technology, 44(1), 1-6. doi:10.1080/17439884.2019.1573833 Additional publications can be found in the database of ifib: https://www.ifib.de/publikationen