How come data needs the social sciences?

In the second episode Emese Domahidi (Assistant Professor at TU Ilmenau) and Mario Haim (Assistant Professor at the U of Leipzig) discuss with Wouter van Atteveldt (Associate Professor at Vrije Universiteit Amsterdam) the role of communication science in the field. Main topics are the nature and role of data for the social sciences and challenges in collaborations with computer scientists. We touch on topics like open science, reproducibility and replicability for computational communication science and whether we need a cultural change to achieve these goals. Last but not least we talk about a new book Computational Analysis of Communication that Wouter co-edited with Damian Trilling and Carlos Arcila.

References

Lazer, D., Pentland, A. (Sandy), Adamic, L., Aral, S., Barabasi, A. L., Brewer, D., Christakis, N., Contractor, N., Fowler, J., Gutmann, M., Jebara, T., King, G., Macy, M., Roy, D., & Van Alstyne, M. (2009). Life in the network: The coming age of computational social science. Science (New York, N.Y.), 323(5915), 721–723. https://doi.org/10.1126/science.1167742

Roberts, M. E., Stewart, B. M., & Tingley, D. (2019). stm: An R Package for Structural Topic Models. Journal of Statistical Software, 91(2), 1–40. https://doi.org/10.18637/jss.v091.i02

van Atteveldt, W., Trilling, D., & Arcila, C. (in press). Computational Analysis of Communication. Wiley Blackwell. Book homepage: https://cssbook.net/