The DOI matches its Crossref record.
Consumers’ Reliance on Product Information and Recommendations Found in UGC
Abstract
In the time since the advent of the Internet, the influence of online recommendations on consumer decision making has attracted great attention. YouTube and sites with blogging capabilities, such as MySpace and Facebook, are growing rapidly and frequently feature comments about brands and products. These comments, whether positive or negative, represent a form of user-generated content (UGC). Although recent research on peer recommendations considers electronic word of mouth, few studies focus on UGC. Using interviews with 17 participants, this study examines consumers’ opinions of online recommendations embedded in UGC compared with those of producer-generated content.
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Citations
Cited by
How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?
Smith, A. N., Fischer, E., & Yongjian, C. (2012) · Journal of Interactive Marketing · doi:10.1016/j.intmar.2012.01.002 · Cited by 1,044
The effect of social media communication on consumer perceptions of brands
Schivinski, B., & Dabrowski, D. (2016) · Journal of Marketing Communications · doi:10.1080/13527266.2013.871323 · Cited by 940
Advertising in social media: a review of empirical evidence
Knoll, J. (2016) · International Journal of Advertising · doi:10.1080/02650487.2015.1021898 · Cited by 362
Muda, M., & Hamzah, M. I. (2021) · Journal of Research in Interactive Marketing · doi:10.1108/jrim-04-2020-0072 · Cited by 225
Signalling Effects of Vlogger Popularity on Online Consumers
Hill, S. R., Troshani, I., & Chandrasekar, D. (2020) · Journal of Computer Information Systems · doi:10.1080/08874417.2017.1400929 · Cited by 127
Metadata
- Authors
- Cheong, H. J., & Morrison, M. A.
- Venue
- Journal of Interactive Advertising
- Publisher
- Informa UK Limited
- Published
- 2008-03
- Volume
- 8
- Issue
- 2
- Pages
- 38-49
- ISSN
- 1525-2019 (ISSN-L)
- OpenAlex
- W1995700272
- Cited by
- 363
- References
- 0
- FWCI
- 37.17
- Type
- journal article
- Language
- en
- Open access
- closed
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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
