Tick-box exercise: choice architecture of online classified pet advertisement websites can improve reporting of compliance with legal requirements

Abstract The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) has been the global standard for monitoring international trade in wildlife for the past half-century, but compliance is imperfect, in part because of misunderstandings regarding the details of in-country regulations. One such regulation is the need to report details of an Article 10 certificate (A10) for the sale of certain species, with the aim of regulating domestic trade within the EU and UK. For two commonly traded species requiring A10 certificates, we collected data from two UK websites on the frequency of reporting the correct paperwork. One website contains a free text field and a tick box to capture information on A10 certificates, whereas the other solely contains a free text field. For each species, the tick box captured A10 certificate ownership in 99% of advertisements—significantly higher than the free text field on that website. In 92% of advertisements, the tick box encouraged reporting of the unique A10 number. The presence of a tick box also encouraged higher reporting of A10 ownership in the free text field, which probably reflects improved disclosure rather than the legality of advertisements. These results suggest that the choice architecture of websites can have a significant impact on the disclosure of the correct information.

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Publication Details

Journal
Royal Society Open Science
Published
2026-08-26
DOI
https://doi.org/10.1098/rsos.251767
Primary Topic
Wildlife Conservation and Criminology Analyses
Type
article
Field-Weighted Citation Impact
0.00
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article

Tick-box exercise: choice architecture of online classified pet advertisement websites can improve reporting of compliance with legal requirements

Jon Bielby, Rebecca Graylish, Evangeline Button, Eve Power
Royal Society Open Science
Wildlife Conservation and Criminology Analyses
article

Tick-box exercise: choice architecture of online classified pet advertisement websites can improve reporting of compliance with legal requirements

Jon Bielby, Rebecca Graylish, Evangeline Button, Eve Power
article en

Abstract

Abstract The Convention on International Trade in Endangered Species of Wild Fauna and Flora (CITES) has been the global standard for monitoring international trade in wildlife for the past half-century, but compliance is imperfect, in part because of misunderstandings regarding the details of in-country regulations. One such regulation is the need to report details of an Article 10 certificate (A10) for the sale of certain species, with the aim of regulating domestic trade within the EU and UK. For two commonly traded species requiring A10 certificates, we collected data from two UK websites on the frequency of reporting the correct paperwork. One website contains a free text field and a tick box to capture information on A10 certificates, whereas the other solely contains a free text field. For each species, the tick box captured A10 certificate ownership in 99% of advertisements—significantly higher than the free text field on that website. In 92% of advertisements, the tick box encouraged reporting of the unique A10 number. The presence of a tick box also encouraged higher reporting of A10 ownership in the free text field, which probably reflects improved disclosure rather than the legality of advertisements. These results suggest that the choice architecture of websites can have a significant impact on the disclosure of the correct information.

Royal Society Open ScienceVol. 13(8)
Liverpool John Moores University (GB), Royal Society for the Prevention of Cruelty to Animals (GB)
Life in Land
Openalex Percentile: Top 7%
Wildlife Conservation and Criminology Analyses
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Tick-box exercise: choice architecture of online classified pet advertisement websites can improve reporting of compliance with legal requirements — Jon Bielby, Rebecca Graylish, et al. · Royal Society Open Science (2026) | TGRS Research Map | TGRS