The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Believe it or not: Factors influencing credibility on the Web
Abstract
This article reviews selected literature related to the credibility of information, including (1) the general markers of credibility, and how different source, message and receiver characteristics affect people's perceptions of information; (2) the impact of information medium on the assessment of credibility; and (3) the assessment of credibility in the context of information presented on the Internet. The objective of the literature review is to synthesize the current state of knowledge in this area, develop new ways to think about how people interact with information presented via the Internet, and suggest next steps for research and practical applications. The review examines empirical evidence, key reviews, and descriptive material related to credibility in general, and in terms of on‐line media. A general discussion of credibility and persuasion and a description of recent work on the credibility and persuasiveness of computer‐based applications is presented. Finally, the article synthesizes what we have learned from various fields, and proposes a model as a framework for much‐needed future research in this area.
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
The Elaboration Likelihood Model of Persuasion
Petty, R. E., & Cacioppo, J. T. (1986) · Advances in Experimental Social Psychology · doi:10.1016/s0065-2601(08)60214-2 · Cited by 8,822
Machines and Mindlessness: Social Responses to Computers
Nass, C., & Moon, Y. (2000) · Journal of Social Issues · doi:10.1111/0022-4537.00153 · Cited by 4,022 · cited 1×
“There is, however, a large body of research demonstrating that people treat computers exactly as they would other people in many social interactions (Nass & Moon, 2000).”
BackgroundEysenbach, G., Gray, J. A. M., Bonati, M., Arunachalam, S., Diepgen, T. L., Impicciatore, P., & Pandolfini, C. (1998) · BMJ · doi:10.1136/bmj.317.7171.1496 · Cited by 461 · cited 2×
“More recent initiatives, such as the MedPICS project (Eysenbach, 2000; Eysenbach & Diepgen, 1998) attempt to overcome these criticisms.”
BackgroundMethodThe landscape of persuasive technologies
King, P., & Tester, J. (1999) · Communications of the ACM · doi:10.1145/301353.301398 · Cited by 92
Elements that affect web credibility: early results from a self-report study
Fogg, B., Marshall, J., Osipovich, A., Varma, C., Laraki, O., Fang, N., Paul, J., Rangnekar, A., Shon, J., Swani, P., et al. (2000) · CHI '00 Extended Abstracts on Human Factors in Computing Systems · doi:10.1145/633292.633460 · Cited by 53
Research works printed but not linked: 41
- 10.1037/0022-3514.77.1.33 · DOI
- 10.1108/eb026653 · DOI · Paper page
- 10.1002/(SICI)1097-4571(199106)42:5<351::AID-ASI5>3.0.CO;2-3 · DOI
- 10.1300/J026v10n03_07 · DOI
- 10.1016/S0747-5632(00)00029-7 · DOI · Paper page
- 10.1023/A:1018799700207 · DOI
- 10.1016/S0738-3991(98)00132-3 · DOI
- 10.1080/108107398127517 · DOI · Paper page
- Dervin B., 1977, Useful theory for librarianship: Communication not information, Drexel Library Quarterly, 13, 16
- Dervin B., 1992, Qualitative research in information management, 61
- Dervin B., 1997, Information seeking in context
- 10.1136/bmj.320.7251.1713 · DOI · Paper page
- Feightner J.W., 1999, Electronic dissemination of Canadian clinical practice guidelines to health care professionals and the public
- 10.1145/301353.301396 · DOI
- Fogg B.J. &.Tseng H.(1999).The elements of computer credibility. Paper presented at the Conference on Human Factors and Computing Systems Pittsburgh PA May 15–20 1999. · DOI · Paper page
- Hovland C.I., 1953, Communication and persuasion
- 10.1037/14519-000 · DOI · Paper page
- 10.1136/bmj.314.7098.1875 · DOI · Paper page
- 10.1001/jama.279.8.611 · DOI · Paper page
- Jadad A.R., 2000, The Internet and evidence‐based decision‐making: A needed synergy for efficient knowledge management in health care, CMAJ, 162, 362
- 10.1177/107769909807500208 · DOI · Paper page
- 10.1136/bmj.318.7184.647 · DOI · Paper page
- 10.1542/peds.101.6.e2 · DOI
- McGuire W.J., 1985, The handbook of social psychology, 233
- 10.1207/S15327027HC1104_4 · DOI
- 10.2224/sbp.1991.19.4.305 · DOI
- Olaisen J., 1990, Information quality: Definitions and dimensions, 91
- 10.1037/0033-2909.107.3.367 · DOI · Paper page
- 10.1177/000276488031003007 · DOI
- Quintana Y., 2001, Preventative health information on the Internet, Qualitative study of consumers' perspectives. Canadian Family Physician, 47, 1759
- 10.1016/S1386-5056(98)00083-5 · DOI
- 10.1001/jama.280.14.1264 · DOI · Paper page
- Rogers E.M., 1995, Diffusion of Innovations
- Self C.S., 1996, An integrated approach to communication theory and research
- Shon J.&Musen M.A.(1999).The low availability of metadata elements for evaluating the quality of medical information on the World Wide Web. Proc. AMIA Symp.(pp.945–949).
- 10.1001/jama.1997.03540390074039 · DOI · Paper page
- 10.1177/107769909607300415 · DOI · Paper page
- Smith A., 1990, Stress and medical procedures, 58
- 10.1145/301353.301402 · DOI · Paper page
- 10.1007/BF02894421 · DOI · Paper page
- 10.1001/jama.283.12.1600 · DOI · Paper page
Cited by
Dwivedi, Y. K., Ismagilova, E., Hughes, D. L., Carlson, J., Filieri, R., Jacobson, J., Jain, V., Karjaluoto, H., Kefi, H., Krishen, A. S., et al. (2021) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2020.102168 · Cited by 4,608
“In order to provide some guidelines for future research we have to irst distinguish among the three diferent elements that can afect the persuasion and inluence of a communication: the source, the receiver, the message, the medium, and the context (Wathen and Burkell, 2002).”
BackgroundSokolova, K., & Kefi, H. (2020) · Journal of Retailing and Consumer Services · doi:10.1016/j.jretconser.2019.01.011 · Cited by 1,650
Social and Heuristic Approaches to Credibility Evaluation Online
Metzger, M. J., Flanagin, A. J., & Medders, R. B. (2010) · Journal of Communication · doi:10.1111/j.1460-2466.2010.01488.x · Cited by 1,394
Cheung, M. Y., Luo, C., Sia, C. L., & Chen, H. (2009) · International Journal of Electronic Commerce · doi:10.2753/jec1086-4415130402 · Cited by 1,286
Erkan, I., & Evans, C. (2016) · Computers in Human Behavior · doi:10.1016/j.chb.2016.03.003 · Cited by 1,188
Metadata
- Authors
- Wathen, C. N., & Burkell, J.
- Venue
- Journal of the American Society for Information Science and Technology
- Publisher
- Wiley
- Published
- 2001-12-03
- Volume
- 53
- Issue
- 2
- Pages
- 134-144
- ISSN
- 1532-2882 (ISSN-L)
- 1532-2890
- OpenAlex
- W2058837212
- Cited by
- 1,084
- References
- 5
- FWCI
- 28.56
- 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
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.
