The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
The power of social media analytics
Abstract
How to use, and influence, consumer social communications to improve business performance, reputation, and profit.
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
Business intelligence and analytics: from big data to big impact
Chen, H., Chiang, R. H. L., & Storey, V. C. (2012) · MIS Quarterly · doi:10.2307/41703503 · Cited by 6,250
Blei, D. M. (2012) · Communications of the ACM · doi:10.1145/2133806.2133826 · Cited by 5,516
Sprott, D., Czellar, S., & Spangenberg, E. (2009) · Journal of Marketing Research · doi:10.1509/jmkr.46.1.92 · Cited by 850
Social Media Analytics and Intelligence
Zeng, D., Chen, H., Lusch, R., & Li, S.-H. (2010) · IEEE Intelligent Systems · doi:10.1109/mis.2010.151 · Cited by 582
Cited by
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.10.001 · Cited by 1,051
Self-citationFogel, D. B. (2018) · Contemporary Clinical Trials Communications · doi:10.1016/j.conctc.2018.08.001 · Cited by 1,035
Chae, B. (. (2015) · International Journal of Production Economics · doi:10.1016/j.ijpe.2014.12.037 · Cited by 481
Machine learning algorithms for social media analysis: A survey
T.K., B., Annavarapu, C. S. R., & Bablani, A. (2021) · Computer Science Review · doi:10.1016/j.cosrev.2021.100395 · Cited by 276
The Rise of Artificial Intelligence under the Lens of Sustainability
Khakurel, J., Penzenstadler, B., Porras, J., Knutas, A., & Zhang, W. (2018) · Technologies · doi:10.3390/technologies6040100 · Cited by 187
“Currently, different content management techniques, such as the detection of trends [79] or artificially created social campaigns [80] are used.”
Background
Metadata
- Authors
- Fan, W., & Gordon, M. D.
- Venue
- Communications of the ACM
- Published
- 2014-06
- Volume
- 57
- Issue
- 6
- Pages
- 74-81
- ISSN
- 0001-0782 (ISSN-L)
- 1557-7317
- OpenAlex
- W2000588299
- Cited by
- 620
- References
- 4
- FWCI
- 150.25
- 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: The power of social media analytics. https://app.cochat.ai/papers/10.1145/2602574
- The paper
- Fan, W., & Gordon, M. D. (2014). The power of social media analytics. Communications of the ACM. https://doi.org/10.1145/2602574
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.
