Prefigurative design as a method for research justice. Proceedings of the ACM on Human-Computer Interaction 3, 1-27. Narrative paths and negotiation of power in birth stories. Maria Antoniak, David Mimno, and Karen Levy.In CHI Conference on Human Factors in Computing Systems Proceedings (CHI 2019), Association for Computing Machinery, New York, NY, USA, 1-13. Street-level algorithms: A theory at the gaps between policy and decisions. YouTube says it has 'no obligation' to host anyone's video. What is YouTube demonetization? An ongoing, comprehensive history. Lastly, we put forward design considerations for algorithmic moderation systems. By analyzing video content creation as algorithmic labor, we unpack the socioeconomic implications of algorithmic moderation and point to necessary post-punishment support as a form of restorative justice. YouTubers coped with such challenges from algorithmic moderation by sharing and applying practical knowledge they learned about moderation algorithms. Drawing from the lens of algorithmic labor, we describe how algorithmic moderation shapes YouTubers' labor conditions through algorithmic opacity and precarity. Moderation research is burgeoning in CSCW, but relatively little attention has been paid to the socioeconomic implications of YouTube's algorithmic moderation.

To manage user-generated harmful video content, YouTube relies on AI algorithms (e.g., machine learning) in content moderation and follows a retributive justice logic to punish convicted YouTubers through demonetization, a penalty that limits or deprives them of advertisements (ads), reducing their future ad income.

Vox youtube adpocalypse