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How Decentralization Affects User Agency on Social Platforms

Aditya Surve, Aneesh Shamraj, Swapneel Mehta

TL;DR

The research investigates how decentralization might present promise as an alternative model to walled garden platforms, and describes the user-driven content moderation through blocks as an expression of agency on Bluesky, a decentralized social platform.

Abstract

Mainstream social media platforms function as "walled garden" ecosystems that restrict user agency, control, and data portability. They have demonstrated a lack of transparency that contributes to a multitude of online harms. Our research investigates how decentralization might present promise as an alternative model to walled garden platforms. Specifically, we describe the user-driven content moderation through blocks as an expression of agency on Bluesky, a decentralized social platform. We examine the impact of providing users with more granular control over their online experiences, including what they post, who can see it, and whose content they are exposed to. We describe the patterns identified in user-driven content moderation and suggest directions for further research.

How Decentralization Affects User Agency on Social Platforms

TL;DR

The research investigates how decentralization might present promise as an alternative model to walled garden platforms, and describes the user-driven content moderation through blocks as an expression of agency on Bluesky, a decentralized social platform.

Abstract

Mainstream social media platforms function as "walled garden" ecosystems that restrict user agency, control, and data portability. They have demonstrated a lack of transparency that contributes to a multitude of online harms. Our research investigates how decentralization might present promise as an alternative model to walled garden platforms. Specifically, we describe the user-driven content moderation through blocks as an expression of agency on Bluesky, a decentralized social platform. We examine the impact of providing users with more granular control over their online experiences, including what they post, who can see it, and whose content they are exposed to. We describe the patterns identified in user-driven content moderation and suggest directions for further research.
Paper Structure (6 sections, 1 figure)

This paper contains 6 sections, 1 figure.

Figures (1)

  • Figure 1: Distribution of Anomalous Blocking Behavior (top percentile each day)