What is Computational Communication Science and why would we need a podcast on that?

In this first-ever episode, Emese Domahidi (Assistant Professor at TU Ilmenau) and Mario Haim (Assistant Professor at the U of Leipzig) discuss the relevance of a social-scientific perspective in the computer-scientifically driven field of artificial intelligence. We briefly dig into Kate Crawford's recent book (https://www.katecrawford.net/) as well as the European Union's "Guidelines for Trustworthy AI." And we compare rather distinct understandings of relevance when it comes to a computational perspective within communication science. All of this accumulates in the introduction of our new podcast in which we will tackle the urgent questions of CCS. 

References

Crawford, K. (2021). Atlas of AI. Yale University Press.

EU Ethics Guidelines for Trustworthy AI: https://digital-strategy.ec.europa.eu/en/library/ethics-guidelines-trustworthy-ai

Fuchs, C., & Qiu, J.L. (2018). Ferments in the field: Introductory reflections on the past, present and future of communication studies. Journal of Communication, 68(2), 219-232. https://doi.org/10.1093/joc/jqy008

van Atteveldt, W., & Peng, T.-Q. (2018). When communication meets computation: Opportunities, challenges, and pitfalls in computational communication science. Communication Methods and Measures, 12(2–3), 81–92. https://doi.org/10.1080/19312458.2018.1458084