Linguistic Markers of Pain Communication on X (Formerly Twitter) in US States With High and Low Opioid Mortality: Machine Learning and Semantic Network Analysis
- 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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Cite this work
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
Source records
- crossref · retrieved 2026-09-25T08:22:15.649Z