Leveraging social media footprints for predicting college student anxiety: a machine learning approach.

Dong C, Neumann A, Sun Y, Xin K, Gao Y

DOI: 10.1186/s40359-026-05161-6
Published: 2026 Jul 11
Container: BMC psychology
Publisher: Not recorded
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1186/s40359-026-05161-6,
  title = {Leveraging social media footprints for predicting college student anxiety: a machine learning approach.},
  author = {Dong C and Neumann A and Sun Y and Xin K and Gao Y},
  year = {2026},
  journal = {BMC psychology},
  doi = {10.1186/s40359-026-05161-6},
  url = {https://doi.org/10.1186/s40359-026-05161-6}
}

RIS

TY  - JOUR
TI  - Leveraging social media footprints for predicting college student anxiety: a machine learning approach.
AU  - Dong C
AU  - Neumann A
AU  - Sun Y
AU  - Xin K
AU  - Gao Y
PY  - 2026
JO  - BMC psychology
DO  - 10.1186/s40359-026-05161-6
UR  - https://doi.org/10.1186/s40359-026-05161-6
ER  -

APA

C, D., A, N., Y, S., K, X., & Y, G. (2026). Leveraging social media footprints for predicting college student anxiety: a machine learning approach.. BMC psychology. https://doi.org/10.1186/s40359-026-05161-6

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pubmed · retrieved 2026-09-26T20:28:19.977Z