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An IBM Watson Analysis of Twitter Followers and Influencers

Author

Listed:
  • Vishal Uppala

    (North Dakota State University, USA)

  • Prashant Palvia

    (University of North Carolina at Greensboro, USA)

  • Kalyani Ankem

    (Northern Kentucky University, USA)

Abstract

In this paper, the authors examined the structure and relationship between followers and leaders in Twitter followership to find similarities in personality. Specifically, they focused on the relationships between Twitter (now X) influencers and their followers through an extensive analysis of millions of tweets using IBM Watson Personality Insights. The results are founded on the relationships between two major social media influencers and their respective followers. The present research informs marketing practitioners on using IBM Watson to find congruence between social media influencers and followers for the most effective and compelling marketing strategies to sell products.

Suggested Citation

  • Vishal Uppala & Prashant Palvia & Kalyani Ankem, 2025. "An IBM Watson Analysis of Twitter Followers and Influencers," International Journal of Technology and Human Interaction (IJTHI), IGI Global Scientific Publishing, vol. 21(1), pages 1-17, January.
    • Handle: RePEc:igg:jthi00:v:21:y:2025:i:1:p:1-17
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    File URL: https://services.igi-global.com/resolvedoi/resolve.aspx?doi=10.4018/IJTHI.370599
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    References listed on IDEAS

    as
    1. Alhaidar, Ahmad & Xue, Fei, 2023. "Instagram influencers in Kuwait: A persuasion knowledge perspective," Journal of Digital & Social Media Marketing, Henry Stewart Publications, vol. 10(4), pages 361-378, March.
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