Problem
Research questions and friction points this paper is trying to address.
User Discovery
Social Platforms
Starter Packs
Content Diffusion
Structure, Topics, and Diffusion Effects of Bluesky Starter Packs
🤖 AI Summary
研究通过分析超过50,000个Bluesky平台上的启动包及其关联用户，探讨了这些精选账户集合如何帮助新用户快速建立社交网络及对内容传播的影响。
📝 Abstract
User discovery is a central challenge in online social platforms, particularly during onboarding. Bluesky, a decentralized microblogging platform built on the AT Protocol, introduced starter packs: curated collections of accounts that users can follow in a single action to bootstrap their social network. In this paper, we present a large-scale empirical analysis of more than 50,000 English-language starter packs and over 600,000 associated users. We characterize their structural organization, topical composition, and impact on content diffusion. Our results show that starter packs form a highly interconnected ecosystem with substantial overlap across packs that largely reflects pre-existing communities. Topic modeling reveals a skewed landscape dominated by automatically generated personal packs alongside several thematic communities, which exhibit similar structural properties but markedly different adoption patterns. Finally, a matched event-study analysis shows that inclusion in a starter pack is strongly associated with a substantial increase in short-term repost activity.
Innovation
Methods, ideas, or system contributions that make the work stand out.
starter packs
empirical analysis
topic modeling
content diffusion
event-study analysis
🔎 Similar Papers
No similar papers found.
💼 Related Jobs
