“Compassionately”: Increasing Plurality Awareness Through Community-Powered AI

Abstract

The prevalence of Islamophobia has resulted in the continual discrimination of Muslims in North America, where polls have found them to be viewed in a negative light, specifically as a rigid, violent and monolithic community. Furthermore, within the Muslim community, many are ignorant and intolerant of differing perspectives to their own beliefs, viewing Islamic jurisprudence as a one-sided, static truth. However, recent work in this domain rightfully reframe it as a human-centered field, and work to amplify minority voices (e.g. women) that are often undermined in textual interpretations. So, our research is centered around utilizing community-powered AI to increase plurality awareness and understanding, both within and outside of the Muslim community. The end goal is to develop a semi-automated hate-speech detection system that educates its users about the multiplicity of perspectives surrounding a topic of interest. This paper will serve as foundational work to this overarching goal by gauging the current climate surrounding the discussion of Islamic perspectives both through a qualitative analysis of online discussions on Reddit and conducting a controlled user study.

Cite

Text

Sheta et al. "“Compassionately”: Increasing Plurality Awareness Through Community-Powered AI." NeurIPS 2024 Workshops: MusIML, 2024.

Markdown

[Sheta et al. "“Compassionately”: Increasing Plurality Awareness Through Community-Powered AI." NeurIPS 2024 Workshops: MusIML, 2024.](https://mlanthology.org/neuripsw/2024/sheta2024neuripsw-compassionately/)

BibTeX

@inproceedings{sheta2024neuripsw-compassionately,
  title     = {{“Compassionately”: Increasing Plurality Awareness Through Community-Powered AI}},
  author    = {Sheta, Hala and Ahmed, Mohamed and Ahmed, Syed Ishtiaque},
  booktitle = {NeurIPS 2024 Workshops: MusIML},
  year      = {2024},
  url       = {https://mlanthology.org/neuripsw/2024/sheta2024neuripsw-compassionately/}
}