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


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