Global Research Dataset on Social Media in Entrepreneurial Startup (2009–2024)

This dataset represents a comprehensive effort to capture the global trajectory of research on social media in entrepreneurial startups over the past decade and a half. It covers bibliometric records collected from 2009 to 2024, with modeling projections extending into 2025–2034 to anticipate future scholarly developments. The collection draws exclusively from peer-reviewed documents indexed in Scopus, comprising 462 publications authored by 1,195 scholars from 72 countries and disseminated across 365 distinct sources. Each record was selected based on rigorous inclusion criteria, ensuring relevance to the topic, complete coverage within the annual timespan, peer-review status, and accessibility for analysis.The dataset provides rich bibliometric metadata, including authors, titles, abstracts, keywords, affiliations, DOIs, funding details, and references, enabling both quantitative mapping and qualitative insights. Analytical outputs are organized into multiple formats: CSV files for raw bibliometric data; PNG images for thematic maps, trend topic visualizations, and research flowcharts; and CSV and PNG outputs for annual publication trajectories and polynomial regression-based modeling projections. Visualization and analysis were conducted using Microsoft Excel for summary statistics, R Biblioshiny for thematic and trend mapping, and Python for projection modeling.By combining bibliometric mapping with predictive modeling, this dataset offers a unique foundation for studying knowledge production, international collaboration, and research dynamics in the intersection of social media and startup entrepreneurship. It is designed as an open data resource to facilitate replication, encourage comparative studies across domains, and support evidence-based decision-making for scholars, practitioners, and policymakers engaging with the evolving digital entrepreneurship ecosystem.