From algorithmic efficiency to cascading health burdens: a text-mining study of online food delivery riders in the platform economy.

Li L, Zhou Y, Yang B, Zhang Z

DOI: 10.3389/fpubh.2026.1868112
Published: 2026
Container: Frontiers in public health
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.3389/fpubh.2026.1868112,
  title = {From algorithmic efficiency to cascading health burdens: a text-mining study of online food delivery riders in the platform economy.},
  author = {Li L and Zhou Y and Yang B and Zhang Z},
  year = {2026},
  journal = {Frontiers in public health},
  doi = {10.3389/fpubh.2026.1868112},
  url = {https://doi.org/10.3389/fpubh.2026.1868112}
}

RIS

TY  - JOUR
TI  - From algorithmic efficiency to cascading health burdens: a text-mining study of online food delivery riders in the platform economy.
AU  - Li L
AU  - Zhou Y
AU  - Yang B
AU  - Zhang Z
PY  - 2026
JO  - Frontiers in public health
DO  - 10.3389/fpubh.2026.1868112
UR  - https://doi.org/10.3389/fpubh.2026.1868112
ER  -

APA

L, L., Y, Z., B, Y., & Z, Z. (2026). From algorithmic efficiency to cascading health burdens: a text-mining study of online food delivery riders in the platform economy.. Frontiers in public health. https://doi.org/10.3389/fpubh.2026.1868112

Source records

pubmed · retrieved 2026-09-25T11:25:48.093Z