TikTok Harassment Comments | Joseph J. Trybala III

This project examines the comment sections of TikTok videos tagged with #Harassment, asking how viewers respond to content depicting harassment. Using topic modeling and content analysis on a large corpus of comments, we characterized the types of support, dismissal, and engagement that emerge in these spaces.

Published as a Late-Breaking Work at CHI 2024 (Armin et al., 2024).

Methods: Novel social media data collection, topic modeling, LIWC psycholinguistic analysis.

Collaborators: Atieh Armin, Jordyn Young, Afsaneh Razi (DONUTS Lab, Drexel University)

References

2024

CHI EA

Support in Short Form: Investigating TikTok Comments on Videos with #Harassment

Atieh Armin, Joseph J Trybala, Jordyn Young, and 1 more author

In Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

DOI Bib

@inproceedings{armin2024support,
  author = {Armin, Atieh and Trybala, Joseph J and Young, Jordyn and Razi, Afsaneh},
  title = {Support in Short Form: Investigating {TikTok} Comments on Videos with \#Harassment},
  booktitle = {Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},
  series = {CHI EA '24},
  year = {2024},
  pages = {1--8},
  publisher = {Association for Computing Machinery,},
  address = {New York, NY, USA},
  doi = {10.1145/3613905.3650849},
  url = {https://doi.org/10.1145/3613905.3650849},
}