An IBM Watson Analysis of Twitter Followers and Influencers
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.
Authors
- Vishal Uppala
- Kalyani Ankem (ORCID: https://orcid.org/0000-0003-0457-3597)
- Prashant Palvia (ORCID: https://orcid.org/0000-0002-8614-646X)
Institutions
- Dakota State University (US)
- Northern Kentucky University (US)
- University of North Carolina at Greensboro (US)
- North Dakota State University (US)
Publication Details
- Journal
- International Journal of Technology and Human Interaction
- Published
- 2025-03-05
- DOI
- https://doi.org/10.4018/ijthi.370599
- Primary Topic
- Digital Marketing and Social Media
- Type
- article
- Field-Weighted Citation Impact
- 0.00