Generating product reviews from aspect-based ratings using large language models
Integrity signals
Registry
Cites
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Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
LLMs inherently possess strong analytical capabilities.
“an extensive body of research demonstrates that LLMs inherently possess strong analytical capabilities (Lee et al., 2026;Pandey and Singh, 2025).”
From Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer (2026) · cites this paper as Pandey and Singh, 2025
Cites
Zaretsky, J., Kim, J. M., Baskharoun, S., Zhao, Y., Austrian, J., Aphinyanaphongs, Y., Gupta, R., Blecker, S. B., & Feldman, J. (2024) · JAMA Network Open · doi:10.1001/jamanetworkopen.2024.0357 · Cited by 303 · see citing works
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Shopping by algorithm: How agentic AI deploys human heuristics as a surrogate consumer
Wadi, D., & Ma, Y. (2026) · arXiv · doi:10.48550/arxiv.2609.28372
- Authors
- Pandey, P., & Singh, J. P.
- Affiliations
- National Institute of Technology Patna (IN)
- Corresponding author
- Pandey, Prince
- Venue
- Journal of Retailing and Consumer Services
- Publisher
- Elsevier BV
- Published
- 2025-05
- Volume
- 84
- Pages
- 104244
- ISSN
- 0969-6989 (ISSN-L)
- OpenAlex
- W4406854108
- Cited by
- 19
- References
- 1
- Citations by year
- 2026: 14 · 2025: 5
- FWCI
- 6.19
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Journal of Retailing and Consumer Services (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Sentiment Analysis and Opinion Mining
- Physical Sciences › Computer Science › Artificial Intelligence › Topic Modeling
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Keywords
- product reviews, review generation, large language models, e-commerce, AI-generated reviews, online review systems, purchase decision, customer satisfaction
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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