@article{daiDigitallyDysfunctionalHow2024,
  title = {Digitally {{Dysfunctional}}: {{How HCI Researchers Examine BIPOC Interactions}} with {{Recommendation Algorithms}}},
  shorttitle = {Digitally {{Dysfunctional}}},
  author = {Dai, Jiarun and Wani, Sehba and Robinson, Zauryn and Hajiyeva, Naila and Scheuerman, Morgan Klaus},
  year = 2024,
  month = mar,
  journal = {iConference 2024 Proceedings},
  eprint = {2142/122798},
  eprinttype = {hdl},
  publisher = {iSchools},
  urldate = {2026-05-07},
  abstract = {Recommendation algorithms are often used in many mainstream media apps to provide content suggestions to users based on factors like individual preferences and virality. As a result, social media platforms circulate and popularize content trends. However, like other algorithmic approaches, recommender systems have been found to reinforce biases, particularly towards marginalized communities. This poster presents a preliminary literature review of how the Human-Computer Interaction (HCI) community has approached scholarship on both Black, Indigenous, and People of Color (BIPOC) individuals and recommendation algorithms. Our findings showcase a lack of focus at the intersection of BIPOC experiences and recommendation algorithms, with the technology and the population often being studied separately. Based on the gaps we identify in the literature, we propose future work aimed at understanding how BIPOC individuals experience recommendation algorithms, specifically on TikTok. Without proper recognition of the biases, lack of representation, and understanding of the offline impacts of the information that recommendation algorithms can create, certain populations could be at risk of encountering material that is untrue and harmful to their well-being.},
  copyright = {Copyright 2024 is held by Jiarun Dai, Sehba Wani, Zauryn Robinson, Haila Najiyeva, and Morgan Klaus Scheuerman. Copyright permissions, when appropriate, must be obtained directly from the authors.},
  langid = {english},
  file = {/Users/Morgan.Scheuerman/Zotero/storage/CL9KMQ8V/Dai et al. - 2024 - Digitally Dysfunctional How HCI Researchers Examine BIPOC Interactions with Recommendation Algorith.pdf}
}