The DOI matches its Crossref record; 52 of the 52 references it cites were found in a registry or an index.
The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace
Open accessAbstract
Marketers distinguish three types of media: paid (e.g., advertising), owned (e.g., company website), and earned (e.g., publicity). The effects of paid media on sales have been extensively covered in the marketing literature. The effects of earned media, however, have received limited attention. The authors examine how two types of earned media, traditional (e.g., publicity and press mentions) and social (e.g., blog and online community posts), affect sales and activity in each other. They analyze 14 months of daily sales and media activity data from a microlending marketplace website using a multivariate autoregressive time-series model. They find that (1) both traditional and social earned media affect sales; (2) the per-event sales impact of traditional earned media activity is larger than for social earned media; (3) because of the greater frequency of social earned media activity, after adjusting for event frequency, social earned media's sales elasticity is significantly greater than traditional earned media's; and (4) social earned media appears to play an important role in driving traditional earned media activity.
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
Rogers, E. M., Singhal, A., & Quinlan, M. M. (2019) · An Integrated Approach to Communication Theory and Research · doi:10.4324/9780203710753-35 · Cited by 37,322
Investigating causal relations by econometric models and cross-spectral methods
Granger, C. W. J. (1969) · Econometrica · doi:10.2307/1912791 · Cited by 22,989
Valente, T. W. (2003) · Genetics in Medicine · doi:10.1097/01.gim.0000061743.67794.c4 · Cited by 13,723
Sims, C. A. (1980) · Econometrica · doi:10.2307/1912017 · Cited by 12,727
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (2013) · doi:10.1017/cbo9781139013567 · Cited by 6,640
The Effect of Word of Mouth on Sales: Online Book Reviews
Chevalier, J. A., & Mayzlin, D. (2006) · Journal of Marketing Research · doi:10.1509/jmkr.43.3.345 · Cited by 6,003
Investigating Causal Relations by Econometric Models and Cross-Spectral Methods
Granger, C. W. J. (2010) · Essays in Econometrics · doi:10.1017/cbo9780511753978.002 · Cited by 4,762
Regression Analysis of Count Data
Cameron, A. C., & Trivedi, P. K. (1998) · Cambridge University Press eBooks · doi:10.1017/cbo9780511814365 · Cited by 3,147
Using Online Conversations to Study Word-of-Mouth Communication
Godes, D., & Mayzlin, D. (2004) · Marketing Science · doi:10.1287/mksc.1040.0071 · Cited by 2,601
Trusov, M., Bucklin, R. E., & Pauwels, K. (2009) · Journal of Marketing · doi:10.1509/jmkg.73.5.90 · Cited by 2,451
Cited by
The future of social media in marketing
Appel, G., Grewal, L., Hadi, R., & Stephen, A. T. (2020) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-019-00695-1 · Cited by 1,893
“(2009) and Stephen and Galak (2012) demonstrated that certain kinds of social interactions that now happen on social media (e.g., Brefer a friend^features and discussions in online communities) can positively affect important marketing outcomes such as new customer acquisition and sales.”
BackgroundSelf-citationLamberton, C., & Stephen, A. T. (2016) · Journal of Marketing · doi:10.1509/jm.15.0415 · Cited by 1,127
Self-citationLi, F., Larimo, J., & Leonidou, L. C. (2021) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-020-00733-3 · Cited by 996
Integrating Marketing Communications: New Findings, New Lessons, and New Ideas
Batra, R., & Keller, K. L. (2016) · Journal of Marketing · doi:10.1509/jm.15.0419 · Cited by 632
Intrinsic vs. Image-Related Utility in Social Media: Why Do People Contribute Content to Twitter?
Toubia, O., & Stephen, A. T. (2013) · Marketing Science · doi:10.1287/mksc.2013.0773 · Cited by 484
Self-citation
Metadata
- Authors
- Stephen, A. T., & Galak, J.
- Venue
- Journal of Marketing Research
- Publisher
- SAGE Publications
- Published
- 2012-10
- Volume
- 49
- Issue
- 5
- Pages
- 624-639
- ISSN
- 0022-2437 (ISSN-L)
- 1547-7193
- OpenAlex
- W3125274876
- Cited by
- 600
- References
- 52
- FWCI
- 61.08
- Type
- journal article
- Language
- en
- Open access
- green
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: The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace. https://app.cochat.ai/papers/10.1509/jmr.09.0401
- The paper
- Stephen, A. T., & Galak, J. (2012). The Effects of Traditional and Social Earned Media on Sales: A Study of a Microlending Marketplace. Journal of Marketing Research. https://doi.org/10.1509/jmr.09.0401
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.
