A Linguistic Analysis of Suicide-Related Twitter Posts
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]
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|Source:||Crisis: The Journal of Crisis Intervention and Suicide Prevention|
|01_O%27Dea_A_Linguistic_Analysis_of_2017.pdf||412.6 kB||Adobe PDF||Request a copy|
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