The DOI matches its Crossref record.
Users of the world unite!
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
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
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
Like or dislike? Adolescents’ responses to personalized social network site advertising
Walrave, M., Poels, K., Antheunis, M. L., Van den Broeck, E., & van Noort, G. (2018) · Journal of Marketing Communications · doi:10.1080/13527266.2016.1182938 · Cited by 112
Wang, T., & Lund, B. (2020) · Journal of Consumer Health on the Internet · doi:10.1080/15398285.2020.1713700 · Cited by 15
Metadata
- Authors
- Schwartz, D. G.
- Venue
- Internet Research
- Publisher
- Emerald
- Published
- 2000-10
- Volume
- 10
- Issue
- 4
- ISSN
- 1066-2243 (ISSN-L)
- OpenAlex
- W1986575645
- Cited by
- 256
- References
- 0
- FWCI
- 0.00
- 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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Users of the world unite! https://app.cochat.ai/papers/10.1108/intr.2000.17210daa.001
- The paper
- Schwartz, D. G. (2000). Users of the world unite! Internet Research. https://doi.org/10.1108/intr.2000.17210daa.001
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.
