The Hidden Pandemic of Family Violence During COVID-19: Unsupervised Learning of Tweets.

ABSTRACT:

Background

Family violence (including intimate partner violence/domestic violence, child abuse, and elder abuse) is a hidden pandemic happening alongside COVID-19. The rates of family violence are rising fast, and women and children are disproportionately affected and vulnerable during this time.

Objective

This study aims to provide a large-scale analysis of public discourse on family violence and the COVID-19 pandemic on Twitter.

Methods

We analyzed over 1 million tweets related to family violence and COVID-19 from April 12 to July 16, 2020. We used the machine learning approach Latent Dirichlet Allocation and identified salient themes, topics, and representative tweets.

Results

We extracted 9 themes from 1,015,874 tweets on family violence and the COVID-19 pa

SUBMITTER: Xue J 

PROVIDER: S-EPMC7652592 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature