Integrating statistical and visual analytic methods for bot identification of health-related survey data.

Chen, Annie T; Komi, Midori; Bessler, Sierrah; Mikles, Sean P; Zhang, Yan

Chen, Annie T; Komi, Midori; Bessler, Sierrah; Mikles, Sean P; Zhang, Yan.

Afiliação

Chen AT; Department of Biomedical Informatics and Medical Education, University of Washington School of Medicine, 850 Republican St., Box 358047, Seattle, WA 98195, United States. Electronic address: atchen@uw.edu.
Komi M; University of Washington, Department of Mathematics Box 354350, Seattle, WA 98195-4350, United States.
Bessler S; University of Washington, Department of Applied Mathematics, 4182 W Stevens Way NE, Seattle, WA 98105, United States. Electronic address: sbessl@uw.edu.
Mikles SP; Lineberger Comprehensive Cancer Outcomes Program, Lineberger Comprehensive Cancer Center, UNC School of Medicine, 450 West Drive, Chapel Hill, NC 27514, United States.
Zhang Y; School of Information, The University of Texas at Austin, 1616 Guadalupe Suite #5.202, Austin, TX 78701-1213, United States. Electronic address: yanz@utexas.edu.

J Biomed Inform ; 144: 104439, 2023 08.

Article em En | MEDLINE | ID: mdl-37419375

Assuntos

COVID-19; Mídias Sociais; Humanos; COVID-19/epidemiologia; Inquéritos e Questionários; Software; Confiabilidade dos Dados

Palavras-chave

Bot identification; COVID-19; Data quality; Interactive visual analytics; Questionnaire data; Visual data analysis

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Mídias Sociais / COVID-19 Tipo de estudo: Diagnostic_studies / Guideline / Prognostic_studies Limite: Humans Idioma: En Revista: J Biomed Inform Ano de publicação: 2023 Tipo de documento: Article

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