O algoritmo como arquivista: curadoria algorítmica, apagamentos estruturais e a luta pela memória coletiva no século XXI
Tiago Negrão de Andrade, María Cristina Gobbi · Revista Memorare · 2025
Algorithmic curation of collective memory has become a critical phenomenon in the digital age, reshaping the production, preservation, and erasure of historical narratives. Platforms like Google, Facebook, and TikTok act as hegemonic archivists, governing memory through market-driven logics, reinforcing inequalities, and naturalizing algorithmic biases. This study examines how automated systems—powered by machine learning and engagement metrics—prioritize viral content while marginalizing dissident voices (e.g., removal of Black activist profiles). Through a systematic review (PRISMA) and theoretical analysis, it explores three dimensions: (1) the replacement of traditional archives with opaque curation; (2) structural erasures of marginalized narratives; and (3) resistances like community archives and decentralized models (blockchain). Findings reveal that algorithms fragment and commodify memory, deepening epistemic injustices (Fricker). An integrated framework (Halbwachs, Noble, Latour) is proposed, advocating for ethical governance with transparency and collective participation to counter digital hegemonies.