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An IBM Watson Analysis of Twitter Followers and Influencers

Vishal Uppala et al.

International Journal of Technology and Human Interaction2025https://doi.org/10.4018/ijthi.370599article
ABDC C
Weight
0.50

What the paper says

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.

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https://doi.org/https://doi.org/10.4018/ijthi.370599

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@article{vishal2025,
  title        = {{An IBM Watson Analysis of Twitter Followers and Influencers}},
  author       = {Vishal Uppala et al.},
  journal      = {International Journal of Technology and Human Interaction},
  year         = {2025},
  doi          = {https://doi.org/https://doi.org/10.4018/ijthi.370599},
}

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An IBM Watson Analysis of Twitter Followers and Influencers

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.