Session 2
DBD: Overview & Introduction
Prepare
✍️ Start working on R-Video-Tutorials.
✍️ Book your time slot for the mandatory feedback session on StudOn.
✍️ Remeber the registration deadline (28./29.10) for the seminar examination on campo.
Participate
🖥️ Session 02
Suggested readings
- Davidson, B. I., Wischerath, D., Racek, D., Parry, D. A., Godwin, E., Hinds, J., Van Der Linden, D., Roscoe, J. F., Ayravainen, L. E. M., & Cork, A. (2023). Platform-controlled social media APIs threaten open science. https://osf.io/ps32z 
- Driel, I. I. van, Giachanou, A., Pouwels, J. L., Boeschoten, L., Beyens, I., & Valkenburg, P. M. (2022). Promises and Pitfalls of Social Media Data Donations. Communication Methods and Measures, 1–17. https://doi.org/10.1080/19312458.2022.2109608 
- Engel, U., Quan-Haase, A., Liu, S. X., & Lyberg, L. (2021). Digital trace data (1st ed., pp. 100–118). Routledge. https://www.taylorfrancis.com/books/9781003024583/chapters/10.4324/9781003024583-8 
- Olteanu, A., Castillo, C., Diaz, F., & Kıcıman, E. (2019). Social data: Biases, methodological pitfalls, and ethical boundaries. Frontiers in Big Data, 2, 13. https://doi.org/10.3389/fdata.2019.00013 
- Reeves, B., Ram, N., Robinson, T. N., Cummings, J. J., Giles, C. L., Pan, J., Chiatti, A., Cho, M., Roehrick, K., Yang, X., Gagneja, A., Brinberg, M., Muise, D., Lu, Y., Luo, M., Fitzgerald, A., & Yeykelis, L. (2021). Screenomics : A Framework to Capture and Analyze Personal Life Experiences and the Ways that Technology Shapes Them. HumanComputer Interaction, 36(2), 150–201. https://doi.org/10.1080/07370024.2019.1578652 
Useful tools & resources
- Peeters, S., & Hagen, S. (2022). The 4CAT Capture and Analysis Toolkit: A Modular Tool for Transparent and Traceable Social Media Research. Computational Communication Research, 4(2), 571–589. https://doi.org/10.5117/ccr2022.2.007.hage 
- Peeters, S. (2022). Zeeschuimer. Zenodo. https://zenodo.org/record/6826877 
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