2015
DOI: 10.1016/j.ajic.2015.05.025
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Detecting themes of public concern: A text mining analysis of the Centers for Disease Control and Prevention's Ebola live Twitter chat

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Cited by 147 publications
(127 citation statements)
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“…When it comes to health communication, in particular [2], social media have been studied to support a broad spectrum of activities: predicting disease outbreaks by monitoring Twitter references to certain terms [3], devising effective communication campaigns [4,5], supporting behavior change interventions [6,7], and tracking the general public’s views on a variety of issues such as vaccination policies [8]. However, the tools for discerning patterns in these social media discussions pertaining to health are still in their formative stages [8-11]. In this paper, we present a study of the recent discourse in Twitter regarding the Zika outbreak to demonstrate the significance of three types of events: (1) geographical events capturing the evolution of the narrative over time and across locations, (2) social media presence events capturing the impact of and interactions over time among key actors, and (3) concept events that capture the emergence and evolution of key concepts that frame this narrative.…”
Section: Introductionmentioning
confidence: 99%
“…When it comes to health communication, in particular [2], social media have been studied to support a broad spectrum of activities: predicting disease outbreaks by monitoring Twitter references to certain terms [3], devising effective communication campaigns [4,5], supporting behavior change interventions [6,7], and tracking the general public’s views on a variety of issues such as vaccination policies [8]. However, the tools for discerning patterns in these social media discussions pertaining to health are still in their formative stages [8-11]. In this paper, we present a study of the recent discourse in Twitter regarding the Zika outbreak to demonstrate the significance of three types of events: (1) geographical events capturing the evolution of the narrative over time and across locations, (2) social media presence events capturing the impact of and interactions over time among key actors, and (3) concept events that capture the emergence and evolution of key concepts that frame this narrative.…”
Section: Introductionmentioning
confidence: 99%
“…However, social media can also be used to combat the spread of false information and ignite health advocacy campaigns 30. Many organisations have taken advantage of Twitter’s affordances by responding to questions and concerns raised by the public, such as Centers for Disease Control and Prevention (CDC)-hosted live Twitter chats responding to the public’s questions about Ebola16 and the Zika virus 31. To date, there is little evidence that individuals with an anti-electronic nicotine delivery systems stance or supporters of e-cigarette regulations have a large presence on social media discussions 32…”
Section: Introductionmentioning
confidence: 99%
“…Social media have many advantages in comparison to mainstream media such as facilitating public participation in science and health communication [5, 28, 33, 50]. Also, as we have seen, social media hold the advantage of providing a platform for the public to debate, discuss, and voice their opinions and concerns.…”
Section: Discussionmentioning
confidence: 99%
“…All social media materials – in other words the various Facebook groups – were thematically analyzed [46] by the first author for emerging themes. Themes were not identified in advance but rather derived from the data [28]. This qualitative technique of emerging themes is prominent in the social sciences, and leans on the ethnographic assumption that richness of data can be achieved by “letting the data speak for itself” [8, 11].…”
Section: Methodsmentioning
confidence: 99%