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Out damn bot, out: Recruiting real people into substance use studies on the internet.
Godinho, Alexandra; Schell, Christina; Cunningham, John A.
Afiliação
  • Godinho A; Centre for Addiction and Mental Health, Institute of Mental Health and Policy Research, Toronto, Canada.
  • Schell C; Centre for Addiction and Mental Health, Institute of Mental Health and Policy Research, Toronto, Canada.
  • Cunningham JA; Centre for Addiction and Mental Health, Institute of Mental Health and Policy Research, Toronto, Canada.
Subst Abus ; 41(1): 3-5, 2020.
Article em En | MEDLINE | ID: mdl-31821108
While the Internet has become a popular and effective strategy for recruiting substance users into research, there is a large risk of recruiting duplicate individuals and Internet bots that pose as humans. Strategies to mitigate these issues are outlined and categorized into two groups: (1) automatic techniques which are often embedded into surveys and (2) ongoing manual techniques implemented during recruitment. Potential limitations of these strategies are discussed, and an example of the prevalence of duplicate data within a substance using sample is provided. Overall, it is recommended that researchers consider the use of routine strategies to mitigate the risks associated with recruiting online samples such as: verifying participant contact information, IP address checks, and ongoing cross-checking of participant information for duplicates, similarities and inconsistencies.
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Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Robótica / Seleção de Pacientes / Transtornos Relacionados ao Uso de Substâncias / Internet / Estudos Clínicos como Assunto Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Eixos temáticos: Pesquisa_clinica Base de dados: MEDLINE Assunto principal: Robótica / Seleção de Pacientes / Transtornos Relacionados ao Uso de Substâncias / Internet / Estudos Clínicos como Assunto Tipo de estudo: Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2020 Tipo de documento: Article