The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Following Celebrities’ Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers’ Source Credibility Perception, Buying Intention, and Social Identification With Celebrities
Abstract
Two experiments examined the impact of Twitter followers, electronic word-of-mouth (eWoM) valence, and celebrity type (prosocial versus antisocial) on consumer behavior in Twitter-based marketing communication, applying social capital theory, social identity theory, source credibility, and extant literature on eWoM. Experiment 1 demonstrated the main effect of number of followers on source credibility, and the interaction effect between eWoM valence and number of followers on product involvement, buying intention, and intention to pass along eWoM. Experiment 2 revealed the interaction effect of celebrity type and number of followers on social identification with the celebrity as well as the mediating effect of social identification.
Overview
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
Preacher, K. J., & Hayes, A. F. (2008) · Behavior Research Methods · doi:10.3758/brm.40.3.879 · Cited by 34,117
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
The Social Identity Theory of Intergroup Behavior
Tajfel, H., & Turner, J. C. (2004) · Political Psychology · doi:10.4324/9780203505984-16 · Cited by 13,467 · cited 4×
“According to social identity theory, people are intrinsically motivated to achieve positive distinctiveness, and this is done by socially identifying with individuals or groups that help to improve their own self-concepts (Tajfel and Turner 1986).”
BackgroundResultInfluentialEllison, 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
Burt, R. S. (1992) · doi:10.4159/9780674029095 · Cited by 9,093
Hennig-Thurau, T., Gwinner, K. P., Walsh, G., & Gremler, D. D. (2004) · Journal of Interactive Marketing · doi:10.1002/dir.10073 · Cited by 5,916
Inclusion of Other in the Self Scale and the structure of interpersonal closeness.
Aron, A., Aron, E. N., & Smollan, D. (1992) · Journal of Personality and Social Psychology · doi:10.1037/0022-3514.63.4.596 · Cited by 5,157
Social Capital: A Theory of Social Structure and Action
Lin, N. (2001) · doi:10.1017/cbo9780511815447 · Cited by 4,535
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
Ohanian, R. (1990) · Journal of Advertising · doi:10.1080/00913367.1990.10673191 · Cited by 4,043
Research works printed but not linked: 55
- Amos Clinton, 2008, International Journal of Advertising: Quarterly Review of Marketing Communications, 27, 209, 10.1080/02650487.2008.11073052 · DOI · Paper page
- 10.1080/08838159609364370 · DOI · Paper page
- Berthon PierreR., 2008, California Management Review, 50, 6, 10.2307/41166454 · DOI · Paper page
- Bourdieu Pierre, 1986, Handbook of Theory and Research for the Sociology of Education, 241
- Bukowski WilliamM., 1989, Peer Relationships in Child Development, 15
- 10.2753/JOA0091-3367400106 · DOI · Paper page
- Cendrowski Scott, 2012, CNN Money
- Cha Meeyoung, 2010, Proceedings of the Fourth International AAAI Conference on Weblogs and Social Media, 10
- Chen Yubo, 2011, Journal of Interactive Marketing, 25, 85, 10.1016/j.intmar.2011.01.003 · DOI · Paper page
- Coleman JamesS., 1988, American Journal of Sociology, 40, S95, 10.1086/228943 · DOI · Paper page
- Erdogan, 2000, International Journal of Advertising, 19, 25, 10.1080/02650487.2000.11104782 · DOI
- Tagg Stephen, 2001, Journal of Advertising Research, 41, 39, 10.2501/JAR-41-3-39-48 · DOI · Paper page
- Fraser BensonP., 2002, Mass Communication and Society, 5, 183, 10.1207/S15327825MCS0502_5 · DOI · Paper page
- Granovetter MarkS., 1973, American Journal of Sociology, 78, 1360, 10.1086/225469 · DOI · Paper page
- Grossman Lev, 2009, Time Magazine Online Edition
- Hampp Andrew, 2011, Advertising Age
- Hargittai Eszter, 2011, New Media and Society, 13, 824, 10.1177/1461444811405805 · DOI
- Herr PaulM., 1991, Journal of Consumer Research, 17, 454, 10.1086/208570 · DOI · Paper page
- Holzwarth Martin, 2006, Journal of Marketing, 70, 19, 10.1509/jmkg.70.4.19 · doi:10.1509/jmkg.70.4.19 · Paper page
- Jansen BernardJ., 2009, Journal of the American Society for Information Science and Technology, 60, 2169, 10.1002/asi.21149 · DOI · Paper page
- Jin Seung-AA., 2013, New Media and Society, 15, 813, 10.1177/1461444812471814 · DOI
- Kelman HerbertC., 1961, Public Opinion Quarterly, 25, 57, 10.1086/266996 · DOI · Paper page
- Kozinets RobertV., 2010, Journal of Marketing, 74, 71, 10.1509/jmkg.74.2.71 · doi:10.1509/jmkg.74.2.71
- Laczniak RussellN., 2001, Journal of Consumer Psychology, 11, 57, 10.1207/S15327663JCP1101_5 · DOI · Paper page
- Li Charlene, 2011, Groundswell: Winning in a World Transformed by Social Technologies
- 10.1080/15252019.2011.10722188 · DOI
- Louie ThereseA., 2001, Marketing Letters, 12, 13, 10.1023/A:1008159717925 · DOI
- 10.1080/00913367.2002.10673684 · DOI
- McCracken Grant, 1989, Journal of Consumer Research, 16, 310, 10.1086/209217 · DOI · Paper page
- McCroskey JamesC., 1974, Speech Monographs, 41, 261, 10.1080/03637757409375845 · DOI · Paper page
- McStay Andrew, 2009, Digital Advertising
- Miller FeliciaM., 2011, Journal of Advertising Research, 51, 499, 10.2501/JAR-51-3-499-510 · DOI
- Norman AndrewT., 2006, Journal of Computer-Mediated Communication, 11, 1085, 10.1111/j.1083-6101.2006.00309.x · DOI
- Norris Pippa, 2002, Harvard International Journal of Press/Politics, 7, 3, 10.1177/1081180X0200700301 · DOI · Paper page
- 10.1016/j.intmar.2011.01.002 · DOI · Paper page
- Parkhurst JenniferT., 1998, Journal of Early Adolescence, 18, 125, 10.1177/0272431698018002001 · DOI · Paper page
- Petty RichardE., 1983, Journal of Consumer Research, 10, 135, 10.1086/208954 · DOI · Paper page
- 10.1080/01292986.2011.587015 · DOI
- Putnam RobertD., 2000, Bowling Alone: The Collapse and Revival of American Community
- Rogers EverettM., 1995, Diffusion of Innovation
- Rubin AlanM., 1985, Human Communication Research, 12, 155, 10.1111/j.1468-2958.1985.tb00071.x · DOI · Paper page
- Russell Mallory, 2012, Advertising Age
- Schaefer Mark, 2012, The Tao of Twitter: Changing Your Life and Business 140 Characters at a Time
- Scott DavidMeerman, 2011, The New Rules of Marketing and PR: How to Use Social Media, Online Video, Mobile Applications, Blogs, News Releases, and Viral Marketing to Reach Buyers Directly, 3rd ed.,
- Smith Aaron, 2011, Pew Internet and American Life Project
- Solis Brian, 2011, Engage: The Complete Guide for Brands and Businesses to Build, Cultivate, and Measure Success in the New Web
- Tajfel Henri, 1986, Social Comparison Theories: Key Readings in Social Psychology
- Tripp Carolyn, 1994, Journal of Consumer Research, 20, 535, 10.1086/209368 · DOI · Paper page
- Utz Sonja, 2010, Journal of Computer-Mediated Communication, 15, 314, 10.1111/j.1083-6101.2010.01522.x · DOI · Paper page
- 10.1080/00913367.1981.10672781 · DOI
- Westerman David, 2012, Computers in Human Behavior, 28, 199, 10.1016/j.chb.2011.09.001 · DOI · Paper page
- White DarinW., 2009, International Journal of Retail and Distribution Management, 37, 322, 10.1108/09590550910948556 · DOI
- Williams Dmitri, 2006, Journal of Computer-Mediated Communication, 11
- Zaichkowsky JudithLynne, 1985, Journal of Consumer Research, 12, 341, 10.1086/208520 · DOI · Paper page
- Zywica Jolene, 2008, Journal of Computer-Mediated Communication, 14, 1, 10.1111/j.1083-6101.2008.01429.x · DOI · Paper page
Cited by
De Veirman, M., Cauberghe, V., & Hudders, L. (2017) · International Journal of Advertising · doi:10.1080/02650487.2017.1348035 · Cited by 2,548
Sokolova, K., & Kefi, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.011 · Cited by 1,650
Evans, N. J., Phua, J., Lim, J., & Jun, H. (2017) · Journal of Interactive Advertising · doi:10.1080/15252019.2017.1366885 · Cited by 921
Self-citationKi, C. ‘., & Kim, Y. (2019) · Psychology & Marketing · doi:10.1002/mar.21244 · Cited by 749
Hwang, K., & Zhang, Q. (2018) · Computers in Human Behavior · doi:10.1016/j.chb.2018.05.029 · Cited by 639
Metadata
- Authors
- Jin, S.-A. A., & Phua, J.
- Venue
- Journal of Advertising
- Publisher
- Informa UK Limited
- Published
- 2014-04-03
- Volume
- 43
- Issue
- 2
- Pages
- 181-195
- ISSN
- 0091-3367 (ISSN-L)
- 1557-7805
- OpenAlex
- W2058307797
- Cited by
- 755
- References
- 13
- FWCI
- 88.64
- Type
- journal article
- Language
- en
- Open access
- closed
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: Following Celebrities’ Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers’ Source Credibility Perception, Buying Intention, and Social Identification With Celebrities. https://app.cochat.ai/papers/10.1080/00913367.2013.827606
- The paper
- Jin, S.-A. A., & Phua, J. (2014). Following Celebrities’ Tweets About Brands: The Impact of Twitter-Based Electronic Word-of-Mouth on Consumers’ Source Credibility Perception, Buying Intention, and Social Identification With Celebrities. Journal of Advertising. https://doi.org/10.1080/00913367.2013.827606
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.