The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets.
Jia QuJunxiang ChenChen ChenRan HuTingshao ZhuPublished in: Journal of medical Internet research (2020)
This study overcomes limitations in the existing scholarship where data on the consequences of COVID-19 on family violence are lacking. We contribute to understanding family violence during the pandemic by providing surveillance via tweets. This is essential for identifying potentially useful policy programs that can offer targeted support for victims and survivors as we prepare for future outbreaks.