Burbach, L., Nakayama, J., Plettenberg, N., Ziefle, M. & Calero Valdez, A. (2018). User preferences in recommendation algorithms: the influence of user diversity, trust, and product category on privacy perceptions in recommender algorithms. In Proceedings of the twelfth conference on recommender systems, S. 306-310. [NWG 6]
Related Articles
Schatto-Eckrodt T, Boberg S, Wintterlin F, Quandt T. (2020)
Schatto-Eckrodt T, Boberg S, Wintterlin F, Quandt T. (2020). Use and Assessment of Sources in Conspiracy Theorists’ Communities. In Grimme C, Preuss M, Takes FW, Waldherr A (Eds.) Disinformation in Open Online Media. MISDOOM 2019, Hamburg , p. 25-32. Cham: Springer International Publishing. doi: 10.1007/978-3-030-39627-5_3 . [NWG 1]
Frischlich, L. Boberg, S., & Quandt, T. (2019)
Frischlich, L. Boberg, S., & Quandt, T. (2019). Comment sections as targets of dark participation. Journalism Studies. Advanced online publication. https://doi.org/10.1080/1461670X.2018.1556320 [NWG 1]
Heinbach, D., Ziegele, M. & Quiring, O. (2018)
Heinbach, D., Ziegele, M. & Quiring, O. (2018). Sleeper effect from below: Long-term effects of source credibility and user comments on the persuasiveness of news articles. New Media & Society, S. 1-22. doi: 10.1177/1461444818784472 [NWG5]