@inproceedings{datta-etal-2022-greasevision-rewriting,
    title = "{G}rease{V}ision: Rewriting the Rules of the Interface",
    author = "Datta, Siddhartha  and
      Kollnig, Konrad  and
      Shadbolt, Nigel",
    editor = "Narang, Kanika  and
      Mostafazadeh Davani, Aida  and
      Mathias, Lambert  and
      Vidgen, Bertie  and
      Talat, Zeerak",
    booktitle = "Proceedings of the Sixth Workshop on Online Abuse and Harms (WOAH)",
    month = jul,
    year = "2022",
    address = "Seattle, Washington (Hybrid)",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2022.woah-1.3/",
    doi = "10.18653/v1/2022.woah-1.3",
    pages = "24--28",
    abstract = "Digital harms can manifest across any interface. Key problems in addressing these harms include the high individuality of harms and the fast-changing nature of digital systems. We put forth GreaseVision, a collaborative human-in-the-loop learning framework that enables end-users to analyze their screenomes to annotate harms as well as render overlay interventions. We evaluate HITL intervention development with a set of completed tasks in a cognitive walkthrough, and test scalability with one-shot element removal and fine-tuning hate speech classification models. The contribution of the framework and tool allow individual end-users to study their usage history and create personalized interventions. Our contribution also enables researchers to study the distribution of multi-modal harms and interventions at scale."
}