Exploring Temporal Patterns of Suicidal Behavior on Twitter

Abstract

A valid mechanism for suicide detection and intervention to a wider population online has not yet been fully established. With the increasing suicide rate, this study aims to examine temporal patterns of potential suicidal ideations and behaviors on Twitter to better understand their risk factors and time-varying features. It is practical to help public health services and others to develop refined prevention strategies, to monitor and support a population of high-risk at right moments.