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

Author

Listed:
  • Sima Sajadi

    (Polytechnique Montreal)

  • Yabo Octave Niamie

    (Polytechnique Montreal)

  • Fabiano Armellini

    (Polytechnique Montreal)

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.

Suggested Citation

  • Sima Sajadi & Yabo Octave Niamie & Fabiano Armellini, 2026. "Unveiling Metaverse Trends: A Comparative Topic Modeling Analysis of News Media and Academic Research," Springer Proceedings in Business and Economics,, Springer.
    • Handle: RePEc:spr:prbchp:978-3-032-23124-6_7
    DOI: 10.1007/978-3-032-23124-6_7
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