  In this paper, we identified marginalized communities' ethical concerns about
social platforms. We performed this identification because recent platform
malfeasance indicates that software teams prioritize shareholder concerns over
user concerns. Additionally, these platform shortcomings often have devastating
effects on marginalized populations. We first scraped 586 marginalized
communities' subreddits, aggregated a dataset of their social platform mentions
and manually annotated mentions of ethical concerns in these data. We
subsequently analyzed trends in the manually annotated data and tested the
extent to which ethical concerns can be automatically classified by means of
natural language processing (NLP). We found that marginalized communities'
ethical concerns predominantly revolve around discrimination and
misrepresentation, and reveal deficiencies in current software development
practices. As such, researchers and developers could use our work to further
investigate these concerns and rectify current software flaws.
