Bot or Not? Detecting and Managing Participant Deception When Conducting Digital Research Remotely: Case Study of a Randomized Controlled Trial.

Loebenberg, Gemma; Oldham, Melissa; Brown, Jamie; Dinu, Larisa; Michie, Susan; Field, Matt; Greaves, Felix; Garnett, Claire

Loebenberg, Gemma; Oldham, Melissa; Brown, Jamie; Dinu, Larisa; Michie, Susan; Field, Matt; Greaves, Felix; Garnett, Claire.

Afiliação

Loebenberg G; UCL Tobacco and Alcohol Research Group, University College London, London, United Kingdom.
Oldham M; UCL Tobacco and Alcohol Research Group, University College London, London, United Kingdom.
Brown J; UCL Tobacco and Alcohol Research Group, University College London, London, United Kingdom.
Dinu L; UCL Tobacco and Alcohol Research Group, University College London, London, United Kingdom.
Michie S; Clinical Educational and Health Psychology, University College London, London, United Kingdom.
Field M; Department of Psychology, University of Sheffield, Sheffield, United Kingdom.
Greaves F; Department of Primary Care and Public Health, Imperial College London, London, United Kingdom.
Garnett C; UCL Tobacco and Alcohol Research Group, University College London, London, United Kingdom.

J Med Internet Res ; 25: e46523, 2023 09 14.

Article em En | MEDLINE | ID: mdl-37707943

Assuntos

Telefone Celular; Software; Humanos; Publicidade; Gerenciamento de Dados; Etanol; Enganação

Palavras-chave

artificial intelligence; false information; mHealth applications; participant; participant deception; recruit; research subject; web-based studies

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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Telefone Celular Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo

Imprimir

XML

PubMed Links

Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Software / Telefone Celular Idioma: En Ano de publicação: 2023 Tipo de documento: Article