Name Assessing Vaccination Sentiments with Social Media
Source Penn State University
Hyperlink to Source http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002199
Description The researchers use publicly available data from Twitter to measure the evolution and distribution of sentiments towards the novel influenza A (H1N1) vaccine during the second half of 2009, i.e. the fall wave of the H1N1 (swine flu) pandemic. Sentiments about vaccination can strongly affect individual vaccination decisions. Measuring such sentiments - and how they are distributed in a population - is typically a difficult and resource-intensive endeavor. The researchers use publicly available data from Twitter to measure the evolution and distribution of sentiments towards the novel influenza A (H1N1) vaccine during the second half of 2009, i.e. the fall wave of the H1N1 (swine flu) pandemic. They find that projected vaccination rates based on sentiments expressed on Twitter are in very good agreement with vaccination rates estimated by the CDC with traditional phone surveys. Looking at the online social network, the team finds that both negative and positive opinions are clustered, and that an equivalent level of clustering of vaccinations in a population would strongly increase disease outbreak risks.
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Lead Institution Penn State University
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Info link http://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1002199
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Type Research
Potential for reuse Medium
Open source N/A
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Plug & Play N/A
Outputs compatible with indicators from Official Statistics N/A
Status Pilot
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  • Areas of technological innovation
  • Social Media Data
  • Areas of management practice innovations
    Use of Alternative Data Sources
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    Created On 2014-04-12
    Updated On 2014-04-12
    Status Published
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