  Blind or low vision (BLV) people were recently reported to be live streamers
on the online platforms that employed content curation algorithms. Recent
research uncovered algorithm biases suppressing the content created by
marginalized populations. However, little is known about the effects of the
algorithms adopted by live streaming platforms on BLV streamers and how they,
as a marginalized population, perceive the effects of the algorithms. We
interviewed BLV streamers (N=19) of Douyin -- a popular live stream platform in
China -- to understand their perceptions of algorithms, perceived challenges,
and mitigation strategies. Our findings show the perceived factors contributing
to disadvantages under algorithmic evaluation of BLV streamers' content (e.g.,
issues with filming and timely interaction with viewers) and perceived
algorithmic suppression (e.g., content not amplified to sighted users but
suppressed within the BLV community). Their mitigation strategies (e.g., not
watching other BLV streamers' shows) tended to be passive. We discuss design
considerations to design a more inclusive and fair live streaming platform.
