The DOI matches its Crossref record; 74 of the 74 references it cites were found in a registry or an index.
Estimating aggregate consumer preferences from online product reviews
Open accessOverview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Herne, H., Cooley, W. W., & Lohnes, P. R. (1973) · Journal of the Royal Statistical Society. Series A (General) · doi:10.2307/2344428 · Cited by 35,697
(1997) · Chemometrics in Environmental Analysis · doi:10.1002/352760216x.ch5 · Cited by 18,653
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Regression Models for Categorical Dependent Variables Using Stata
Guzmán, J. (2013) · Puerto Rico health sciences journal · Cited by 5,304
Trusov, M., Bucklin, R. E., & Pauwels, K. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.5.90 · Cited by 2,451
Self-citationNonresponse rates and nonresponse bias in household surveys
Groves, R. M. (2006) · Public Opinion Quarterly · doi:10.1093/poq/nfl033 · Cited by 2,420
Zhu, F., & Zhang, X. (. (2010) · Journal of Marketing · doi:10.1509/jm.74.2.133 · Cited by 2,363
Mining the peanut gallery: opinion extraction and semantic classification of product reviews
Dave, K., Lawrence, S., & Pennock, D. M. (2003) · Proceedings of the twelfth international conference on World Wide Web - WWW '03 · doi:10.1145/775152.775226 · Cited by 1,916
Sentiment Analysis and Subjectivity
Bing, L. (2010) · Cited by 1,724
Extracting product features and opinions from reviews
Popescu, A.-M., & Etzioni, O. (2005) · Proceedings of the conference on Human Language Technology and Empirical Methods in Natural Language Processing - HLT '05 · doi:10.3115/1220575.1220618 · Cited by 1,698
Cited by
Recognizing Contextual Polarity: An Exploration of Features for Phrase-Level Sentiment Analysis
Wilson, T., Wiebe, J., & Hoffmann, P. (2009) · Computational Linguistics · doi:10.1162/coli.08-012-r1-06-90 · Cited by 722
Ghose, A., Ipeirotis, P. G., & Li, B. (2012) · Marketing Science · doi:10.1287/mksc.1110.0700 · Cited by 649
Brave New World? On AI and the Management of Customer Relationships
Libai, B., Bart, Y., Gensler, S., Hofacker, C. F., Kaplan, A., Kötterheinrich, K., & Kroll, E. B. (2020) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2020.04.002 · Cited by 358
Unstructured data in marketing
Balducci, B., & Marinova, D. (2018) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-018-0581-x · Cited by 300
A Structured Analysis of Unstructured Big Data by Leveraging Cloud Computing
Liu, X., Singh, P. V., & Srinivasan, K. (2016) · Marketing Science · doi:10.1287/mksc.2015.0972 · Cited by 184
Metadata
- Authors
- Decker, R., & Trusov, M.
- Venue
- International Journal of Research in Marketing
- Publisher
- Elsevier BV
- Published
- 2010-12
- Volume
- 27
- Issue
- 4
- Pages
- 293-307
- ISSN
- 0167-8116 (ISSN-L)
- OpenAlex
- W3123035962
- Cited by
- 341
- References
- 74
- FWCI
- 36.52
- Type
- journal article
- Language
- en
- Open access
- green
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 ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Estimating aggregate consumer preferences from online product reviews. https://app.cochat.ai/papers/10.1016/j.ijresmar.2010.09.001
- The paper
- Decker, R., & Trusov, M. (2010). Estimating aggregate consumer preferences from online product reviews. International Journal of Research in Marketing. https://doi.org/10.1016/j.ijresmar.2010.09.001
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
