The DOI matches its Crossref record; 51 of the 51 references it cites were found in a registry or an index.
Sensitive research topics: netnography revisited
Abstract
Purpose: This paper discusses how netnography can be applied in order to conduct covert research on sensitive research topics. An analysis of a Danish internet message board on cosmetic surgery illustrates suggestions concerning modifications of netnography guidelines. Design/methodology/approach: Owing to the relevance of studying sensitive research topics – in particular when access to informants is difficult – netnography has been applied in an analysis of cross consumer online‐communication about cosmetic surgery on a Danish internet message board. Methodological stages and procedures including entreé, data collection, analysis and interpretation have been followed. In terms of research ethics and member checks, however, the suggested guidelines have been modified. Findings: Empirical findings verify that consumers use internet message boards in order to exchange information and advice about cosmetic surgery. Especially the opportunity to masquerade and to cover their identities allows them to express attitudes, opinions, and experiences freely – and hence to study these in order gain deeper insights into consumption motives, concerns, and experiences. Originality/value: The paper suggests that netnography is a suitable methodology for the study of sensitive research topics, enabling the researcher in an unobtrusive and covert way to gain deeper insights into consumers' opinions, motives, and concerns. Based on a discussion of netnography's position in between discourse analysis, content analysis and ethnography, it is argued for the legitimacy of covert research, including a revision of existing guidelines for research ethics with regard to informed consent when conducting netnography.
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
Outline of a Theory of Practice
Bourdieu, P. (1977) · doi:10.1017/cbo9780511812507 · Cited by 27,606
Content Analysis: An Introduction to its Methodology.
Shelley, M., & Krippendorff, K. (1984) · Journal of the American Statistical Association · doi:10.2307/2288384 · Cited by 24,312
The Interpretation of Cultures
(2017) · Macat Library eBooks · doi:10.4324/9781912128310 · Cited by 16,449
Outline of a Theory of Practice.
Frank, A. W., & Bourdieu, P. (1980) · Contemporary Sociology · doi:10.2307/2066038 · Cited by 14,545
Qualitative Inhaltsanalyse : Grundlagen und Techniken
Mayring, P. (2003) · Cited by 6,519
Outline of a Theory of Practice
BOURDIEU, P. (2007) · On Violence · doi:10.2307/j.ctv120qr2d.16 · Cited by 5,527
Unbearable Weight: Feminism, Western Culture and the Body.
Nichter, M., & Bordo, S. (1995) · Contemporary Sociology · doi:10.2307/2075082 · Cited by 5,018
Rogers, C. R. (1961) · Cited by 4,342
Muniz, A. M., & O'Guinn, T. C. (2001) · Journal of Consumer Research · doi:10.1086/319618 · Cited by 3,998
The Field behind the Screen: Using Netnography for Marketing Research in Online Communities
Kozinets, R. V. (2002) · Journal of Marketing Research · doi:10.1509/jmkr.39.1.61.18935 · Cited by 3,962
Cited by
Kozinets, R. V. (2015) · The International Encyclopedia of Digital Communication and Society · doi:10.1002/9781118767771.wbiedcs067 · Cited by 635
Ethical challenges in online research: Public/private perceptions
Sugiura, L., Wiles, R., & Pope, C. (2017) · Research Ethics · doi:10.1177/1747016116650720 · Cited by 201
Social media trust: Fighting misinformation in the time of crisis
Shahbazi, M., & Bunker, D. (2024) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2024.102780 · Cited by 126
Coping with loneliness: a netnographic study of doctoral students
Janta, H., Lugosi, P., & Brown, L. (2014) · Journal of Further and Higher Education · doi:10.1080/0309877x.2012.726972 · Cited by 121
Amann, J., & Rubinelli, S. (2017) · Journal of Medical Internet Research · doi:10.2196/jmir.7406 · Cited by 34
Metadata
- Authors
- Langer, R., & Beckman, S. C.
- Venue
- Qualitative Market Research: An International Journal
- Publisher
- Emerald
- Published
- 2005-06-01
- Volume
- 8
- Issue
- 2
- Pages
- 189-203
- ISSN
- 1352-2752 (ISSN-L)
- OpenAlex
- W2031637631
- Cited by
- 632
- References
- 51
- FWCI
- 20.58
- 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: Sensitive research topics: netnography revisited. https://app.cochat.ai/papers/10.1108/13522750510592454
- The paper
- Langer, R., & Beckman, S. C. (2005). Sensitive research topics: netnography revisited. Qualitative Market Research: An International Journal. https://doi.org/10.1108/13522750510592454
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.