Algorithm,Space,and Power:A study on the Path and Mechanism of Social Media Users'Perception of Algorithmic Power
Perceptions of algorithms by users constitute the logical starting point and foundational phenomenon for studying the relationship between users and algorithms.Existing empirical research often analyzes users'perceptions of the functions and impacts of algorithms,yet the mechanisms of perceived algorithmic power remain empirically underexplored.This study integrates theories of"cyberspace""power cues"and"power perception",employing structural equation modeling and mediation analysis,to examine the pathway and mechanism through which social media users perceive algorithmic power.The research identifies that users perceive cyberspace through dimensions of boundary,functionality,and shaping.Within cyberspace,users further perceive algorithmic power through cues of"manipulation""control""concealment"and"surveillance"while cognitive inertia leads to masking effects during the perception of these cues,thereby forming partial mediation mechanisms in perceiving algorithmic power cues.Based on these findings,the study constructs the theoretical framework of"Algorithmic Spatial Power Perception Mechanism",expanding the analysis of algorithmic technological impact perceptions to include perceptions of algorithmic power cues.This framework provides an explanatory framework for studying user perceptions of algorithms based on the relationship among"algorithm""space"and"power".
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