Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning

Kai Li, Cheng Zhou, Xin (Robert) Luo, Jose Benitez 0001, Qinyu Liao. Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning. Decision Support Systems, 162:113752, 2022. [doi]

@article{LiZLBL22,
  title = {Impact of information timeliness and richness on public engagement on social media during COVID-19 pandemic: An empirical investigation based on NLP and machine learning},
  author = {Kai Li and Cheng Zhou and Xin (Robert) Luo and Jose Benitez 0001 and Qinyu Liao},
  year = {2022},
  doi = {10.1016/j.dss.2022.113752},
  url = {https://doi.org/10.1016/j.dss.2022.113752},
  researchr = {https://researchr.org/publication/LiZLBL22},
  cites = {0},
  citedby = {0},
  journal = {Decision Support Systems},
  volume = {162},
  pages = {113752},
}