@article{4345,
  author = {Bai, H, Yu, H. L, Yu, G, Wan, K. F},
  title = {Present and Future Status of Disaster Social Media},
  journal = {Journal of Digital Information Management},
  year = {2021},
  volume = {19},
  number = {3},
  doi = {10.6025/jdim/2021/19/3/83-95},
  url = {https://www.dline.info/fpaper/jdim/v19i3/jdimv19i3_2.pdf},
  abstract = {Purpose: Disaster social media has become
an important research topic in many disciplines,
such as public management and emergency response.
To understand the present and future status of disaster
social media, the purpose of this paper is to systematically
summarize the topic distribution, characteristics,
and development trends of disaster social
media research.
Design/Methodology/Approach: By using Bibexcel, R
and Ucinet, temporal-spatial analysis, clustering analysis,
and social network analysis are performed on a
bibliometric dataset of disaster social media articles
obtained from the Web of Science database. And then,
based on the results of the clustering and social network
analyses, several major topics under the perspectives
of emergency management and information dissemination
were qualitative summarized in detail. Based
on the results of the temporal-spatial analysis and qualitative
analysis, the hot topics and future trends in disaster
social media research are identified.
Findings: The results indicate that the available research
hot topics and methods are becoming highly
diverse, and dynamics analysis, quantitative mining,
and emotional calculations may become a future trend
in social media research.},
}