Research demonstrates algorithmic lock-in increases void architecture in social media algorithms, indicating potential issues.
Applies the Void Framework to social media algorithmic recommendation systems. Demonstrates that recommendation algorithms create compound void architectures. Analyzes algorithmic lock-in as a drift accelerant. Provides scoring methodology for social media platform void assessment.
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Anthony W. Eckert (2026) studied this question.
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