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A Linguistic Analysis of Suicide-Related Twitter Posts

O'Dea, Bridianne; Larsen, Mark E.; Batterham, Philip; Calear, Alison; Christensen, Helen


Background: Suicide is a leading cause of death worldwide. Identifying those at risk and delivering timely interventions is challenging. Social media site Twitter is used to express suicidality. Automated linguistic analysis of suicide-related posts may help to differentiate those who require support or intervention from those who do not. Aims: This study aims to characterize the linguistic profiles of suicide-related Twitter posts. Method: Using a dataset of suicide-related Twitter posts...[Show more]

CollectionsANU Research Publications
Date published: 2017
Type: Journal article
Source: Crisis: The Journal of Crisis Intervention and Suicide Prevention
DOI: 10.1027/0227-5910/a000443


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