The DOI matches its Crossref record; 6 of the 6 references it cites were found in a registry or an index.
The (Potential) Benefits of Campaigning via Social Network Sites
Abstract
Social network sites (SNS) have become very popular, especially among adolescents and young adults. Consequently, politicians started to use them for their campaigns. This paper examines how this personalized soft campaigning strategy worked in the 2006 Dutch elections and how interaction with potential voters can influence the evaluation of the candidates. The first question is answered by a web survey among active users of Hyves, the largest Dutch SNS. The second question is answered by a web experiment on a fictive candidate. The survey showed that SNS provide an opportunity to reach individuals less interested in politics. Viewing a candidate's profile further strengthened existing attitudes. However, the politicians did not fully use the interactive features of SNS during the 2006 campaign. The web experiment showed that politicians who react on the comments of users were perceived more favorable. This effect was stronger for right-wing politicians and left-wing voters.
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
Social network sites: definition, history, and scholarship
boyd, D. M., & Ellison, N. B. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00393.x · Cited by 16,251
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
Donath, J., & Boyd, D. (2004) · BT Technology Journal · doi:10.1023/b:bttj.0000047585.06264.cc · Cited by 1,399
Cross-cutting Social Networks: Testing Democratic Theory in Practice
MUTZ, D. C. (2002) · American Political Science Review · doi:10.1017/s0003055402004264 · Cited by 1,069
Friends, Friendsters, and Top 8: Writing community into being on social network sites
Boyd, D. (2006) · First Monday · doi:10.5210/fm.v11i12.1418 · Cited by 636
The Effects of Negativity and Motivated Information Processing During a Political Campaign
Meffert, M. F., Chung, S., Joiner, A. J., Waks, L., & Garst, J. (2006) · Journal of Communication · doi:10.1111/j.1460-2466.2006.00003.x · Cited by 305
Cited by
Social media and political communication: a social media analytics framework
Stieglitz, S., & Dang-Xuan, L. (2013) · Social Network Analysis and Mining · doi:10.1007/s13278-012-0079-3 · Cited by 647
Kushin, M. J., & Yamamoto, M. (2010) · Mass Communication and Society · doi:10.1080/15205436.2010.516863 · Cited by 451
Microblogging, Constituency Service and Impression Management: UK MPs and the Use of Twitter
Jackson, N., & Lilleker, D. (2011) · The Journal of Legislative Studies · doi:10.1080/13572334.2011.545181 · Cited by 338
Chi, H.-H. (2011) · Journal of Interactive Advertising · doi:10.1080/15252019.2011.10722190 · Cited by 294
Automating the News: How Personalized News Recommender System Design Choices Impact News Reception
Beam, M. A. (2014) · Communication Research · doi:10.1177/0093650213497979 · Cited by 159
Metadata
- Authors
- Utz, S.
- Venue
- Journal of Computer-Mediated Communication
- Publisher
- Oxford University Press (OUP)
- Published
- 2009-01
- Volume
- 14
- Issue
- 2
- Pages
- 221-243
- ISSN
- 1083-6101 (ISSN-L)
- OpenAlex
- W2133183960
- Cited by
- 213
- References
- 6
- FWCI
- 51.35
- 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 (Potential) Benefits of Campaigning via Social Network Sites. https://app.cochat.ai/papers/10.1111/j.1083-6101.2009.01438.x
- The paper
- Utz, S. (2009). The (Potential) Benefits of Campaigning via Social Network Sites. Journal of Computer-Mediated Communication. https://doi.org/10.1111/j.1083-6101.2009.01438.x
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.