Sexual and geocultural algorithmic imaginaries: Examining approaches of participatory resignation among LGBTQ+ Instagrammers in Berlin and Montreal

Abstract

This study builds on theories of user imaginaries by examining how LGBTQ+ creators in Montreal, Canada and Berlin, Germany respond to perceived algorithmic bias. Through observation and close reading of creators’ Instagram content, the study finds that expectations of discrimination based on sexual and gender identity, embedded in geographical and sociocultural contexts, shape these users’ understandings of threats posed by algorithmic governance. Findings also identified three main responses to perceived algorithmic bias: direct calls for engagement, strategies for eluding algorithmic surveillance, and adaptation to presumed algorithmic parameters. Instead of giving up or leaving, these responses demonstrated users’ participatory resignation, as an expectation of algorithmic bias informed by past experiences of identity-based discrimination paired with determination to negotiate such bias to endure on the platform. Thus, this article contributes a novel comparative analysis that expands conceptualizations of algorithmic imaginaries while revealing how resignation is mobilized as resistance to algorithmic governance.