Using Twitter to Measure Public Discussion of Diseases: A Case Study

BACKGROUND: Twitter is increasingly used to estimate disease prevalence, but such measurements can be biased, due to both biased sampling and inherent ambiguity of natural language. OBJECTIVE: We characterized the extent of these biases and how they vary with disease. METHODS: We correlated self-rep...

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Detalles Bibliográficos
Autores principales: Weeg, Christopher, Schwartz, H Andrew, Hill, Shawndra, Merchant, Raina M, Arango, Catalina, Ungar, Lyle
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2015
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763717/
https://www.ncbi.nlm.nih.gov/pubmed/26925459
http://dx.doi.org/10.2196/publichealth.3953

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4763717/
https://www.ncbi.nlm.nih.gov/pubmed/26925459
http://dx.doi.org/10.2196/publichealth.3953

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