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Cited by 583

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Credibility and computing technology

Tseng, Shawn, Fogg, B. J.·1999·Communications of the ACM
DOI 10.1145/301353.301402
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Abstract

The article focuses on the fact that like many aspects of people's lives computers seem to be facing a credibility crisis. For most of the computing's brief history, people have held computers in high regard. A quick review of the popular culture from the past few decades reflects people's general confidence in computing systems. In cinema and literature, computers are often portrayed as infallible sidekicks in the service of humanity. In the consumer realm, computer-based information and services have been marketed as better, more reliable and more credible sources of information than humans. Consider, for example, computerized weather prediction, computerized automotive analysis and so-called computer dating. In these and other areas, the public has generally been led to believe that if a computer said it or produced it, it was believable. Research shows that people who lack expertise seem less willing or able to skeptical about a computing technology designed to help them. Although it may be an overstatement to say that computers are facing a credibility crisis, the credibility of computing products will be a growing concern-within and outside professional circles INSET: Semantic Problems Discussing Credibility.

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Metadata

Authors
Tseng, S., & Fogg, B. J.
Venue
Communications of the ACM
Publisher
Association for Computing Machinery (ACM)
Published
1999-05
Volume
42
Issue
5
Pages
39-44
ISSN
  • 0001-0782 (ISSN-L)
  • 1557-7317
DOI
10.1145/301353.301402
OpenAlex
W2091656550
Cited by
583
References
1
FWCI
35.06
Type
journal article
Language
en
Open access
closed

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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.