Publications

Analyzing User Engagement with TikTok’s Short Format Video Recommendations using Data Donations

Savvas Zannettou, Olivia Nemes Nemeth, Oshrat Ayalon, Angelica Goetzen, Krishna P. Gummadi, Elissa M. Redmiles, Franziska Roesner

Proceedings of the CHI Conference on Human Factors in Computing Systems, CHI 2024, Honolulu, HI, USA, May 11-16, 2024 — 2024

DOI Link

BibTeX

@inproceedings{DBLP:conf/chi/ZannettouNAGGRR24,
  author = {Zannettou, Savvas and Nemeth, Olivia Nemes and Ayalon, Oshrat and Goetzen, Angelica and Gummadi, Krishna P. and Redmiles, Elissa M. and Roesner, Franziska},
  editor = {Mueller, Florian 'Floyd' and Kyburz, Penny and Williamson, Julie R. and Sas, Corina and Wilson, Max L. and Dugas, Phoebe O. Toups and Shklovski, Irina},
  title = {Analyzing User Engagement with TikTok's Short Format Video Recommendations
                    using Data Donations},
  booktitle = {Proceedings of the {CHI} Conference on Human Factors in Computing
                    Systems, {CHI} 2024, Honolulu, HI, USA, May 11-16, 2024},
  pages = {731:1--731:16},
  publisher = {{ACM}},
  year = {2024},
  url = {https://doi.org/10.1145/3613904.3642433},
  doi = {10.1145/3613904.3642433},
  timestamp = {Sun, 02 Nov 2025 21:27:18 +0100},
  biburl = {https://dblp.org/rec/conf/chi/ZannettouNAGGRR24.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}