The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
Viral Advertising in Social Media: Participation in Facebook Groups and Responses among College-Aged Users
Abstract
This study examines the potential link of Facebook group participation with viral advertising responses. The results suggest that college-aged Facebook group members engage in higher levels of self-disclosure and maintain more favorable attitudes toward social media and advertising in general than do nongroup members. However, Facebook group participation does not exert an influence on users’ viral advertising pass-on behaviors. The results also identify variations in predictors of pass-on behaviors between group members and nonmembers. These findings have theoretical and managerial implications for viral advertising on Facebook.
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Cites
Users of the world, unite! The challenges and opportunities of Social Media
Kaplan, A. M., & Haenlein, M. (2010) · Business Horizons · doi:10.1016/j.bushor.2009.09.003 · Cited by 17,875
Social network sites: definition, history, and scholarship
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Ellison, N. B., Steinfield, C., & Lampe, C. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00367.x · Cited by 9,939
Social media: The new hybrid element of the promotion mix
Mangold, W. G., & Faulds, D. J. (2009) · Business Horizons · doi:10.1016/j.bushor.2009.03.002 · Cited by 4,111
Laurenceau, J.-P., Barrett, L. F., & Pietromonaco, P. R. (1998) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.74.5.1238 · Cited by 1,064
Gender Differences in Privacy-Related Measures for Young Adult Facebook Users
Hoy, M. G., & Milne, G. (2010) · Journal of Interactive Advertising · doi:10.1080/15252019.2010.10722168 · Cited by 443
Cited by
Engagement with Social Media and Social Media Advertising: The Differentiating Role of Platform Type
Voorveld, H. A. M., van Noort, G., Muntinga, D. G., & Bronner, F. (2018) · Journal of Advertising · doi:10.1080/00913367.2017.1405754 · Cited by 819
“…Okazaki, Rubio, and Campo 2014; Van Noort, Antheunis, and Verlegh 2014) or on one specific social media platform, such as Facebook (e.g., Chi 2011; Chu 2011; Nelson-Field, Riebe, and Sharp 2012), YouTube (Liu-Thompkins 2012; Walther et al. 2010), Twitter (Liu, Burns, and Hou 2017; Sook Kwon et…”
BackgroundSocial media engagement behaviour: a uses and gratifications perspective
Dolan, R., Conduit, J., Fahy, J., & Goodman, S. (2016) · Journal of Strategic Marketing · doi:10.1080/0965254x.2015.1095222 · Cited by 720
Social media marketing: Comparative effect of advertisement sources
Shareef, M. A., Mukerji, B., Dwivedi, Y. K., Rana, N. P., & Islam, R. (2019) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2017.11.001 · Cited by 587
Masuda, H., Han, S. H., & Lee, J. (2022) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2021.121246 · Cited by 576
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
Metadata
- Authors
- Chu, S.-C.
- Venue
- Journal of Interactive Advertising
- Publisher
- Informa UK Limited
- Published
- 2011-09
- Volume
- 12
- Issue
- 1
- Pages
- 30-43
- ISSN
- 1525-2019 (ISSN-L)
- OpenAlex
- W1493011977
- Cited by
- 328
- References
- 6
- FWCI
- 48.22
- Type
- journal article
- Language
- en
- Open access
- closed
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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.
