Unveiling Metaverse Trends: A Comparative Topic Modeling Analysis of News Media and Academic Research

Sima Sajadi (), Yabo Octave Niamie () and Fabiano Armellini ()
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Sima Sajadi: Polytechnique Montreal
Yabo Octave Niamie: Polytechnique Montreal
Fabiano Armellini: Polytechnique Montreal

A chapter in Technology Management for Intelligent, Open and Responsible Organizations and Ecosystems, 2026, pp 50-61 from Springer

Abstract: Abstract The metaverse is transforming industries through AI, blockchain, gaming, and VR/AR. While academia explores its theoretical foundations, industry discourse—captured in news media—focuses on real-time innovations, corporate strategies, and market trends. Using Latent Dirichlet Allocation (LDA), this study analyzes 9,790 news articles to identify 13 key themes, including AI-driven advancements, data privacy, venture capital, and workforce dynamics. A comparison with a literature-based topic modeling study (Park et al., 2024) reveals overlaps in AI, blockchain, and gaming but highlights gaps in workforce transformation, commercialization, and regulation. This study underscores the need for interdisciplinary collaboration to align academic research with industry realities.

Keywords: Metaverse; Topic Modeling; LDA; Metaverse Ecosystem; Comparative Analysis; Entrepreneurship; Startup (search for similar items in EconPapers)
Date: 2026
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Persistent link: https://EconPapers.repec.org/RePEc:spr:prbchp:978-3-032-23124-6_7

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DOI: 10.1007/978-3-032-23124-6_7

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