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A new method for early detection of mass concern about public health issues

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  • Jiayin Pei
  • Guang Yu
  • Xianyun Tian
  • Maureen Renee Donnelley

Abstract

During a public health crisis, risk communication professionals and other risk managers need timely and reliable information about the public reaction as soon as possible in order to effectively carry out their responsibilities. Based on a data-set of microblog news posts, this article presents a method that can forecast to what extent news about a public health issue will be disseminated. The study makes advances in rapidly tracking citizens’ reaction towards public health issues by monitoring news media on microblog sites. The findings show that the proposed method can detect early on the intensity of social reaction on a public health issue as well as provide alert signals. The method can also complement existing risk detection systems and help in the design of other powerful risk analytics tools.

Suggested Citation

  • Jiayin Pei & Guang Yu & Xianyun Tian & Maureen Renee Donnelley, 2017. "A new method for early detection of mass concern about public health issues," Journal of Risk Research, Taylor & Francis Journals, vol. 20(4), pages 516-532, April.
    • Handle: RePEc:taf:jriskr:v:20:y:2017:i:4:p:516-532
    DOI: 10.1080/13669877.2015.1100655
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    Cited by:

    1. Grover, Purva & Kar, Arpan Kumar & Davies, Gareth, 2018. "“Technology enabled Health” – Insights from twitter analytics with a socio-technical perspective," International Journal of Information Management, Elsevier, vol. 43(C), pages 85-97.
    2. Jiayin Pei & Zhi Lu & Xiaoming Yang, 2022. "What drives people to repost social media messages during the COVID‐19 pandemic? Evidence from the Weibo news microblog," Growth and Change, Wiley Blackwell, vol. 53(4), pages 1609-1626, December.

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