Disease Detection or Public Opinion Reflection? Content Analysis of Tweets, Other Social Media, and Online Newspapers During the Measles Outbreak in the Netherlands in 2013

Autor:	Mollema, Liesbeth, Harmsen, Irene Anhai, Broekhuizen, Emma, Clijnk, Rutger, De Melker, Hester, Paulussen, Theo, Kok, Gerjo, Ruiter, Robert, Das, Enny
Jazyk:	angličtina
Rok vydání:	2015
Předmět:	Computer applications to medicine. Medical informatics R858-859.7 Public aspects of medicine RA1-1270
Zdroj:	Journal of Medical Internet Research, Vol 17, Iss 5, p e128 (2015)
Druh dokumentu:	article
ISSN:	1438-8871
DOI:	10.2196/jmir.3863
Popis:	BackgroundIn May 2013, a measles outbreak began in the Netherlands among Orthodox Protestants who often refuse vaccination for religious reasons. ObjectiveOur aim was to compare the number of messages expressed on Twitter and other social media during the measles outbreak with the number of online news articles and the number of reported measles cases to answer the question if and when social media reflect public opinion patterns versus disease patterns. MethodsWe analyzed measles-related tweets, other social media messages, and online newspaper articles over a 7-month period (April 15 to November 11, 2013) with regard to topic and sentiment. Thematic analysis was used to structure and analyze the topics. ResultsThere was a stronger correlation between the weekly number of social media messages and the weekly number of online news articles (P
Databáze:	Directory of Open Access Journals
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