Different Platforms, Shared Imaginaries

A Comparative Analysis of Cross-Platform User Experiences

Abstract

Algorithmic imaginary—a term postulated by Bucher (2017)—conceptualizes how social media users perceive platforms’ algorithms and the corresponding effects on their feelings and interactions with the platforms. The concept has evolved to adapt to the increasing intricacies of research on platforms’ algorithms and their effects on users’ emotions. This study synthesizes and analyzes research on user perceptions of algorithms (algorithmic imaginaries) across three major social media platforms: Facebook, Instagram, and TikTok. Employing a comprehensive literature review methodology, the study examines how these imaginaries shape user emotions and behaviors. Findings reveal common themes across platforms: algorithms are perceived as opaque, manipulative, and potentially restrictive, leading to negative emotional responses. Users adopt various strategies to regain control and seek transparency. The paper underscores the need for a more inclusive approach to algorithmic literacy, involving both users and platform designers, to foster a more positive and empowering social media experience.