New source, new possibilities: An exploratory study of Bluesky posts referencing scholarly articles

2025-07-24

AI Summary

Despite growing interest in alternative scholarly communication platforms, Bluesky’s viability for academic exchange and its potential as an altmetric data source remain unexamined. Method: This study conducts the first systematic assessment of Bluesky’s feasibility for scholarly communication and its altmetric utility, analyzing 87,470 academic-link-containing posts collected from February 2024 to April 2025, enriched with OpenAlex metadata to examine temporal dynamics, disciplinary distribution, linguistic patterns, and engagement behaviors. Contribution/Results: Academic activity surged notably after November 2024; content is concentrated in social sciences, environmental science, and medicine; English dominates linguistically; engagement is primarily limited to likes and reposts, with scarce citations or substantive replies; textual originality significantly exceeds that of mainstream platforms, indicating stronger explanatory participation. The study extends the scope of scholarly communication research beyond conventional platforms and establishes Bluesky as a high-value, high-originality altmetric data source.

Technology Category

• Application Domains: Humanities & Computational Social Science
• Data Mining & Knowledge Management: Linked Open Data, Knowledge Graphs & KB Completion
• Natural Language Processing: Discourse, Pragmatics & Argument Mining

Application Category

• Web Mining and Content Analysis: Web data quality in the era of algorithmically-generated content
• Social Networks and Social Media: Computational social science
• Security and Privacy: Data transparency and provenance

Abstract

Amid the migration of academics from X, the social media platform Bluesky has been proposed as a potential alternative. To assess its viability and relevance for science communication, this study presents the first large-scale analysis of scholarly article dissemination on Bluesky, exploring its potential as a new source of social media metrics. We collected and analysed 87,470 Bluesky posts referencing 72,898 scholarly articles from February 2024 to April 2025, integrating metadata from the OpenAlex database. We examined temporal trends, disciplinary coverage, language use, textual characteristics, and user engagement. A sharp increase in scholarly activity on Bluesky was observed from November 2024, coinciding with broader academic shifts away from X. Posts primarily focus on the social, environmental, and medical sciences and are predominantly written in English. As on X, likes and reposts are much more common than replies and quotes. Nevertheless, Bluesky posts demonstrate a higher degree of textual originality than previously observed on X, suggesting greater interpretive engagement. These findings highlight Bluesky's emerging role as a credible platform for science communication and a promising source for altmetrics. The platform may facilitate not only early visibility of research outputs but also more meaningful scholarly dialogue in the evolving social media landscape.

Problem

• Assess Bluesky's viability for science communication
• Analyze scholarly article dissemination on Bluesky
• Explore Bluesky as a new altmetrics source

Innovation

• Large-scale analysis of Bluesky posts
• Integration with OpenAlex database metadata
• Higher textual originality than X