Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis

ShinYe Kim, Winson Fu Zun Yang, Zishan Jiwani, Emily Hamm, Shreya Singh

Open source

DOI
10.2196/67506
Published
2025-05-13
Container
Journal of Medical Internet Research
Publisher
JMIR Publications Inc.
Open access
unknown

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BibTeX

@article{allodium:10.2196/67506,
  title = {Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis},
  author = {ShinYe Kim and Winson Fu Zun Yang and Zishan Jiwani and Emily Hamm and Shreya Singh},
  year = {2025},
  journal = {Journal of Medical Internet Research},
  doi = {10.2196/67506},
  url = {https://doi.org/10.2196/67506}
}

RIS

TY  - JOUR
TI  - Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis
AU  - ShinYe Kim
AU  - Winson Fu Zun Yang
AU  - Zishan Jiwani
AU  - Emily Hamm
AU  - Shreya Singh
PY  - 2025
JO  - Journal of Medical Internet Research
DO  - 10.2196/67506
UR  - https://doi.org/10.2196/67506
ER  - 

APA

Kim, S., Yang, W. F. Z., Jiwani, Z., Hamm, E., & Singh, S. (2025). Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis. Journal of Medical Internet Research. https://doi.org/10.2196/67506

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