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Cited by 474

The DOI matches its Crossref record; 14 of the 14 references it cites were found in a registry or an index.

Temporal Contiguity and Negativity Bias in the Impact of Online Word of Mouth

Chen, Zoey, Lurie, Nicholas H.·2013·Journal of Marketing Research

Abstract

Prior research shows that positive online reviews are less valued than negative reviews. The authors argue that this is due to differences in causal attributions for positive versus negative information such that positive reviews tend to be relatively more attributed to the reviewer (vs. product experience) than negative reviews. The presence of temporal contiguity cues, which indicate that review writing closely follows consumption, reduces the relative extent to which positive reviews are attributed to the reviewer and mitigates the negativity bias. An examination of 65,531 Yelp.com restaurant reviews shows that review value is negatively related to review valence but that this negative relationship is absent for reviews that contain temporal contiguity cues. A series of lab studies replicates these findings and suggests that temporal contiguity cues enhance the value of a positive review and increase the likelihood of choosing a product with a positive review by changing reader beliefs about the cause of the review.

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Metadata

Authors
Chen, Z., & Lurie, N. H.
Venue
Journal of Marketing Research
Published
2013-08
Volume
50
Issue
4
Pages
463-476
ISSN
0022-2437 (ISSN-L)
OpenAlex
W2059814748
Cited by
474
References
14
FWCI
64.91
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Temporal Contiguity and Negativity Bias in the Impact of Online Word of Mouth. https://app.cochat.ai/papers/10.1509/0022-2437-50.4.463
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Chen, Z., & Lurie, N. H. (2013). Temporal Contiguity and Negativity Bias in the Impact of Online Word of Mouth. Journal of Marketing Research. https://doi.org/10.1509/0022-2437-50.4.463

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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.