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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