Identifying Public Response Topics to the Centers for Disease Control and Prevention’s COVID-19 Communications on Social Media: Infoveillance Study Using Large Language Model–Based Rephrasing
- DOI
- 10.2196/98319
- Published
- 2026-10-08
- Container
- JMIR Infodemiology
- Publisher
- JMIR Publications Inc.
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.2196/98319,
title = {Identifying Public Response Topics to the Centers for Disease Control and Prevention’s COVID-19 Communications on Social Media: Infoveillance Study Using Large Language Model–Based Rephrasing},
author = {Wangjiaxuan Xin and Shuhua Yin and Albert Park and Yaorong Ge and Shi Chen},
year = {2026},
journal = {JMIR Infodemiology},
doi = {10.2196/98319},
url = {https://doi.org/10.2196/98319}
}RIS
TY - JOUR TI - Identifying Public Response Topics to the Centers for Disease Control and Prevention’s COVID-19 Communications on Social Media: Infoveillance Study Using Large Language Model–Based Rephrasing AU - Wangjiaxuan Xin AU - Shuhua Yin AU - Albert Park AU - Yaorong Ge AU - Shi Chen PY - 2026 JO - JMIR Infodemiology DO - 10.2196/98319 UR - https://doi.org/10.2196/98319 ER -
APA
Xin, W., Yin, S., Park, A., Ge, Y., & Chen, S. (2026). Identifying Public Response Topics to the Centers for Disease Control and Prevention’s COVID-19 Communications on Social Media: Infoveillance Study Using Large Language Model–Based Rephrasing. JMIR Infodemiology. https://doi.org/10.2196/98319
Source records
- crossref · retrieved 2026-11-10T07:30:54.864Z