Natural language model for automatic identification of Intimate Partner Violence reports from Twitter.

ABSTRACT: Intimate partner violence (IPV) is a preventable public health problem that affects millions of people worldwide. Approximately one in four women are estimated to be or have been victims of severe violence at some point in their lives, irrespective of age, ethnicity, and economic status. Victims often report IPV experiences on social media, and automatic detection of such reports via machine learning may enable improved surveillance and targeted distribution of support and/or interventions for those in need. However, no artificial intelligence systems for automatic detection currently exists, and we attempted to address this research gap. We collected posts from Twitter using a list of IPV-related keywords, manually reviewed subsets of retrieved posts, and prepared annotation guidelines to

SUBMITTER: Al-Garadi MA 

PROVIDER: S-EPMC10065459 | biostudies-literature | 2022 Sep

REPOSITORIES: biostudies-literature