The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Representation of the Online Tourism Domain in Search Engines
Abstract
With the growing importance of the Internet for travel planning, understanding the online domain of tourism is vital in order to identify the challenges and potential solutions for effectively marketing travel destinations. This study focuses attention on understanding the representation of the tourism domain on the Internet. Analyses of search results from a major search engine were conducted in order to assess: 1) the visibility of destination-related information; 2) the visibility of various industry sectors within destinations; and 3) the power structure of websites that represent a specific destination. The results show that although there is a huge amount of information indexed, travelers can only access a tiny fraction of the domain. Also, there are a relatively small number of websites dominating the search results. This study provides a number of important insights into the challenges facing the tourism industry with respect to representing a destination online.
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
Travel Blogs and the Implications for Destination Marketing
Pan, B., MacLaurin, T., & Crotts, J. C. (2007) · Journal of Travel Research · doi:10.1177/0047287507302378 · Cited by 798
Information Technology and Tourism — A Challenging Relationship
Werthner, H., & Klein, S. (1999) · doi:10.1007/978-3-7091-6363-4 · Cited by 774
In Google We Trust: Users’ Decisions on Rank, Position, and Relevance
Pan, B., Hembrooke, H., Joachims, T., Lorigo, L., Gay, G., & Granka, L. (2007) · Journal of Computer-Mediated Communication · doi:10.1111/j.1083-6101.2007.00351.x · Cited by 715 · cited 2×
“Thus, the tourism domain is largely based upon (i.e., represented by) the ranking and position of search results and is relatively small as compared to the total number of pages indexed by the respective search engines (Pan et al. 2007; Xiang and Fesenmaier 2005).”
ResultWerthner, H., & Ricci, F. (2004) · Communications of the ACM · doi:10.1145/1035134.1035141 · Cited by 458
Profiling people searching for and purchasing travel products on the World Wide Web
Weber, K., & Roehl, W. S. (1999) · Journal of Travel Research · doi:10.1177/004728759903700311 · Cited by 322
Cited by
A review of innovation research in tourism
Hjalager, A.-M. (2010) · Tourism Management · doi:10.1016/j.tourman.2009.08.012 · Cited by 1,588
Xiang, Z., Du, Q., Ma, Y., & Fan, W. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.10.001 · Cited by 1,051
Self-citationThe use of social media in travel information search
Chung, N., & Koo, C. (2015) · Telematics and Informatics · doi:10.1016/j.tele.2014.08.005 · Cited by 474
Intelligent systems in tourism
Gretzel, U. (2011) · Annals of Tourism Research · doi:10.1016/j.annals.2011.04.014 · Cited by 468
Forecasting tourism demand with composite search index
Li, X., Pan, B., Law, R., & Huang, X. (2017) · Tourism Management · doi:10.1016/j.tourman.2016.07.005 · Cited by 367
Metadata
- Authors
- Xiang, Z., Wöber, K., & Fesenmaier, D. R.
- Venue
- Journal of Travel Research
- Publisher
- SAGE Publications
- Published
- 2008-07-07
- Volume
- 47
- Issue
- 2
- Pages
- 137-150
- ISSN
- 0047-2875 (ISSN-L)
- 1552-6763
- OpenAlex
- W2137997906
- Cited by
- 291
- References
- 5
- FWCI
- 49.95
- 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: Representation of the Online Tourism Domain in Search Engines. https://app.cochat.ai/papers/10.1177/0047287508321193
- The paper
- Xiang, Z., Wöber, K., & Fesenmaier, D. R. (2008). Representation of the Online Tourism Domain in Search Engines. Journal of Travel Research. https://doi.org/10.1177/0047287508321193
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.
