Comparing researcher-curated AI-drafted feedback styles for negative automatic thought believability: an online randomized scenario-based experiment

Yu Liu, Junting Mu, Ying Li, Yingzi Ke, Yingge Zhang

Open source

DOI: 10.3389/fpsyg.2026.1926092
Published: 2026-10-01
Container: Frontiers in Psychology
Publisher: Frontiers Media SA
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.3389/fpsyg.2026.1926092,
  title = {Comparing researcher-curated AI-drafted feedback styles for negative automatic thought believability: an online randomized scenario-based experiment},
  author = {Yu Liu and Junting Mu and Ying Li and Yingzi Ke and Yingge Zhang},
  year = {2026},
  journal = {Frontiers in Psychology},
  doi = {10.3389/fpsyg.2026.1926092},
  url = {https://doi.org/10.3389/fpsyg.2026.1926092}
}

RIS

TY  - JOUR
TI  - Comparing researcher-curated AI-drafted feedback styles for negative automatic thought believability: an online randomized scenario-based experiment
AU  - Yu Liu
AU  - Junting Mu
AU  - Ying Li
AU  - Yingzi Ke
AU  - Yingge Zhang
PY  - 2026
JO  - Frontiers in Psychology
DO  - 10.3389/fpsyg.2026.1926092
UR  - https://doi.org/10.3389/fpsyg.2026.1926092
ER  -

APA

Liu, Y., Mu, J., Li, Y., Ke, Y., & Zhang, Y. (2026). Comparing researcher-curated AI-drafted feedback styles for negative automatic thought believability: an online randomized scenario-based experiment. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2026.1926092

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crossref · retrieved 2026-11-10T09:46:23.651Z