The Algo Lock: Void Architecture in Algorithmic Recommendation Systems

Key Points

• This research aims to analyze how algorithmic recommendation systems create compound void architectures and accelerate algorithmic lock-in.
• Applied the Void Framework to analyze social media recommendation systems.
• Demonstrated the creation of compound void architectures by recommendation algorithms.
• Developed a scoring methodology to assess voids in social media platforms.
• Identified that recommendation algorithms contribute to compound void architectures.
• Demonstrates that algorithmic lock-in serves as a drift accelerant, worsening user experience.
• Provided metrics for assessing voids in social media algorithms.