We’re not so different: Collectivism increases perceived homophily, trust, and seeking user-generated product information
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Each is checked against this paper’s own text: does it say what the citing paper says it does?
Trust in other social media users positively influences participants to seek user-generated product information on social media.
“On the other hand, one study found that trust in other social media users positively infuenced participants to seek user-generated product information on social media [61].”
From What Do We Mean When We Talk about Trust in Social Media? A Systematic Review (2023) · cites this paper as [61]
The citation lists haven’t been fetched yet
References 52 · Cited by 69
- Authors
- Leonhardt, J. M., Pezzuti, T., & Namkoong, J.-E.
- Affiliations
- University of Nevada, Reno (US)
- Adolfo Ibáñez University (CL)
- Corresponding author
- Leonhardt, James M.
- Venue
- Journal of Business Research
- Publisher
- Elsevier BV
- Published
- 2020-05
- Volume
- 112
- Pages
- 160-169
- ISSN
- 0148-2963 (ISSN-L)
- OpenAlex
- W3011626412
- Cited by
- 69
- References
- 52
- Citations by year
- 2026: 13 · 2025: 10 · 2024: 12 · 2023: 11 · 2022: 10 · 2021: 9 · 2020: 4
- FWCI
- 10.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Journal of Business Research (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Sociology and Political Science › Digital Marketing and Social Media
- Social Sciences › Business, Management and Accounting › Marketing › Consumer Behavior in Brand Consumption and Identification
- Social Sciences › Psychology › Social Psychology › Cultural Differences and Values
- Keywords
- collectivism, user-generated content, consumer trust, purchase decision, self-other similarity, cultural mindset, cross-cultural consumer behavior, social media, digital marketing strategy
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.
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