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Cited by 233

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

Linking Trust to Trustworthiness

O’Neill, Onora·2018·International Journal of Philosophical Studies

Abstract

Trust is valuable when placed in trustworthy agents and activities, but damaging or costly when (mis)placed in untrustworthy agents and activities. So it is puzzling that much contemporary work on trust – such as that based on polling evidence – studies generic attitudes of trust in types of agent, institution or activity in complete abstraction from any account of trustworthiness. Information about others’ generic attitudes of trust or mistrust that take no account of evidence whether those attitudes are well or ill placed can offer little or no help for those who aim to place or refuse trust well. Information about attitudes is evidently useful to those who aim to influence those who hold them, which explains why polls about attitudes are popular with political parties, advertisers and other campaigning organisations. But where we aim not to influence others, but to place and refuse trust intelligently we must link trust to trustworthiness, and must focus on evidence of honesty, competence and reliability.

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Metadata

Authors
O’Neill, O.
Venue
International Journal of Philosophical Studies
Published
2018-03-15
Volume
26
Issue
2
Pages
293-300
ISSN
  • 0967-2559 (ISSN-L)
  • 1466-4542
OpenAlex
W2802697040
Cited by
233
References
1
FWCI
86.22
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Linking Trust to Trustworthiness. https://app.cochat.ai/papers/10.1080/09672559.2018.1454637
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O’Neill, O. (2018). Linking Trust to Trustworthiness. International Journal of Philosophical Studies. https://doi.org/10.1080/09672559.2018.1454637

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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.