Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA.
Zongmin Li|Ye Zhao|Tie Duan|Jingqi Dai
| Anthology ID: | DBLP:journals/ipm/LiZDD23 |
|---|---|
| Year: | 2023 |
| Venue: | Information Processing and Management |
| Pages: | 103303 |
| URL: | https://doi.org/10.1016/J.IPM.2023.103303 |
| DOI: | https://doi.org/10.1016/J.IPM.2023.103303 |
| DBLP: | journals/ipm/LiZDD23 |
| BibTeX: |
@article{li-2023-configurational,
author = {Zongmin Li and
Ye Zhao and
Tie Duan and
Jingqi Dai},
title = {{Configurational patterns for COVID-19 related social media rumor refutation effectiveness enhancement based on machine learning and fsQCA}},
journal = {Information Processing and Management},
volume = {60},
number = {3},
pages = {103303},
year = {2023},
url = {https://doi.org/10.1016/J.IPM.2023.103303},
doi = {https://doi.org/10.1016/J.IPM.2023.103303}
}