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Cited by 284

The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.

Full Disclosure: The Perils and Promise of Transparency

Open access
Fung, Archon, Graham, Mary, Weil, David·2007·Cambridge University Press eBooks

Abstract

Governments employ public disclosure strategies to reduce risks, improve public and private goods and services, and reduce injustice. In the United States, these targeted transparency policies include financial securities disclosures, nutritional labels, school report cards, automobile rollover rankings, and sexual offender registries. They constitute a light-handed approach to governance that empowers citizens. However, these policies are frequently ineffective or counterproductive. Based on a comparative analysis of eighteen major policies, the authors suggest that transparency policies often produce information that is incomplete, incomprehensible, or irrelevant to the consumers, investors, workers, and community residents who could benefit from them. Sometimes transparency fails because those who are threatened by it form political coalitions to limit or distort information. To be successful, transparency policies must place the needs of ordinary citizens at centre stage and produce information that informs their everyday choices. This title is also available as Open Access on Cambridge Core.

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Crossref · 10.1017/9780521699617

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Metadata

Authors
Fung, A., Graham, M., & Weil, D.
Venue
Cambridge University Press eBooks
Published
2007-03-05
OpenAlex
W4384103844
Cited by
284
References
12
FWCI
3.32
Type
book
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: Full Disclosure: The Perils and Promise of Transparency. https://app.cochat.ai/papers/10.1017/9780521699617
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Fung, A., Graham, M., & Weil, D. (2007). Full Disclosure: The Perils and Promise of Transparency. Cambridge University Press eBooks. https://doi.org/10.1017/9780521699617

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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.