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Developing and testing an AI-based risk information-seeking model (ARISM): A structural equation modeling approach

Soo Jung Hong

Information, Communication & Society2026https://doi.org/10.1080/1369118x.2026.2634845article
AJG 2ABDC A
Weight
0.50

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https://doi.org/https://doi.org/10.1080/1369118x.2026.2634845

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@article{soo2026,
  title        = {{Developing and testing an AI-based risk information-seeking model (ARISM): A structural equation modeling approach}},
  author       = {Soo Jung Hong},
  journal      = {Information, Communication & Society},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.1080/1369118x.2026.2634845},
}

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Developing and testing an AI-based risk information-seeking model (ARISM): A structural equation modeling approach

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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

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