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Estimating the Duration of Public Concern After the Fukushima Dai-ichi Nuclear Power Station Accident From the Occurrence of Radiation Exposure-Related Terms on Twitter: A Retrospective Data Analysis.

Naoki NishimotoMizuki OtaAyako YagaharaKatsuhiko Ogasawara
Published in: JMIR public health and surveillance (2016)
Although the simple plot of the number of tweets did not show clear results, we estimated the mean attenuation period as approximately one month for the keyword radioactive, and found that the keywords were still being used in posts at the end of the study period. Further research is required to quantify the effect of other phrases in social media data. The results of this exploratory study should advance progress in influencing and quantifying the communication of risk.
Keyphrases
  • social media
  • data analysis
  • health information
  • emergency department
  • risk assessment
  • machine learning
  • deep learning
  • artificial intelligence