Knowledge Resource
Research Summary: Out-of-Network Attention Dynamics on Bluesky
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Summary & Analysis prepared by
- Aziz Shuaib Ausi
- Resource type
- Research Summary / Knowledge Resource
- Resource published on AZIZ OS
- 2 October 2026
- Reading time
- 1 min
- Publication type
- Knowledge Resource
- Availability
- Open access
About this Summary & Analysis
AZIZ OS provides independently prepared summaries and analytical interpretations of externally published research and knowledge sources. The underlying works remain attributable to their original authors and rights holders. This resource is intended to improve accessibility and understanding and does not replace the original publication.
A study on the decentralized microblogging platform Bluesky, utilizing 173 million user-author interactions, reveals that a significant portion of user attention extends beyond direct follow graphs. Contrary to platforms heavily relying on explicit follow connections, 74.5% of interactions on Bluesky occur via content from accounts not directly followed by the user, indicating a substantial 'out-of-network' attention dynamic.
Why it matters
This study highlights that user engagement on social media platforms is not solely dictated by explicit follow relationships, especially on platforms with simpler recommendation algorithms. Understanding these 'out-of-network' attention dynamics is crucial for content strategy, platform design, and predicting information dissemination patterns, as it suggests a more organic or less algorithmically curated discovery process can still drive substantial engagement.
Key insights
- The research analyzed 173 million user-author interactions (likes, reposts, replies, quotes) on Bluesky from February to September 2023.
- Bluesky's default feed utilizes a simple, reverse-chronological content recommender.
- 74.5% of user interactions involved content from accounts not directly followed by the user.
- Interactions were categorized by 'attention-path length': directly followed, relayed by a followed account, reachable within two follow-hops, or beyond.
Source
arXiv — Computers and Society — https://arxiv.org/abs/2610.01971
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- Verification ID
- ASA-EXE-2026-01021
- Version
- v1.0 · r0
- Issued
- 2 October 2026
- Resource prepared by
- Aziz Shuaib Ausi
- Resource status
- Research Summary / Knowledge Resource
- Underlying work
- Out-of-Network Attention Dynamics on Bluesky
- Original authors
- Attribution requires verification
- Original source
- arXiv — Computers and Society
- Provenance status
- Attribution requires verification
- Rights
- Underlying publication rights remain with the respective copyright holder(s). Refer to the original source for authoritative publication and licensing information.
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