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Hashtags, Protests, and Polycrisis: A Machine Learning Analysis of Kenyans’ Sentiments on the 2024 Finance Bill Protests Using X Data

James Ndone & Nathan Carpenter

International Journal of Strategic Communication2026https://doi.org/10.1080/1553118x.2026.2617236article
ABDC B
Weight
0.50

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https://doi.org/https://doi.org/10.1080/1553118x.2026.2617236

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@article{james2026,
  title        = {{Hashtags, Protests, and Polycrisis: A Machine Learning Analysis of Kenyans’ Sentiments on the 2024 Finance Bill Protests Using X Data}},
  author       = {James Ndone & Nathan Carpenter},
  journal      = {International Journal of Strategic Communication},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/1553118x.2026.2617236},
}

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Hashtags, Protests, and Polycrisis: A Machine Learning Analysis of Kenyans’ Sentiments on the 2024 Finance Bill Protests Using X Data

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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.