2024/04/29 by Andrea Failla, Giulio Rossetti · 2 voices · 18 citations
Physics and Astronomy · Social Sciences · #Complex Network Analysis Techniques #Computational sociology #Computer science #Computer security #Data science #Internet privacy #Misinformation #Misinformation and Its Impacts #Opinion Dynamics and Social Influence #Social media #World Wide Web
paper · pdf · open access · doi:10.1371/journal.pone.0310330
published in PLoS ONE 19(11), e0310330 (Public Library of Science)
openalex publication_date 2024/11/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
Pollution of online social spaces caused by rampaging d/misinformation is a growing societal concern. However, recent decisions to reduce access to social media APIs are causing a shortage of publicly available, recent, social media data, thus hindering the advancement of computational social science as a whole. We present a large, high-coverage dataset of social interactions and user-generated content from Bluesky Social to address this pressing issue. The dataset contains the complete post history of over 4M users (81% of all registered accounts), totalling 235M posts. We also make available social data covering follow, comment, repost, and quote interactions. Since Bluesky allows users to create and like feed generators (i.e., content recommendation algorithms), we also release the full output of several popular algorithms available on the platform, along with their timestamped "like" interactions. This dataset allows novel analysis of online behavior and human-machine engagement patterns. Notably, it provides ground-truth data for studying the effects of content exposure and self-selection and performing content virality and diffusion analysis.