Volume 16, Number 1
The Amplifying Mirror: Personality and Social Media Platforms
Authors
V Indumathi, RVS College of Arts and Science, India
Abstract
Social media platforms function as distributed systems that amplify preexisting personality dispositions through algorithmic filtering and feedback. Rather than creating identity, these systems intensify patterns by shaping exposure and reinforcing what users repeat. Evidence from personality psychology and work on algorithmic personalization suggests that stable traits predict how individuals interpret and respond to platform cues. Over time, repeated interaction with curated feeds and reward signals can influence performance orientation and perceived self-consistency. This narrative review synthesizes psychological and computational findings to describe algorithmic architectures as an amplifying mirror that strengthens dispositional tendencies through ongoing feedback within large-scale, algorithmically mediated environments.
Keywords
Personality Traits, Algorithmic Personalization, Distributed Platforms, Digital Identity, Feedback Loops..