Suicide risk factors: A language analysis approach in social media

Suicide represents a public health issue that requires new preventive strategies. Therefore, this study analyzes differences in language use between a themed posts group (suicide and depression) and a random posts group (non-specific topics) from different social media platforms. In addition, the similarity of the texts of themed posts group with the set of phrases […]

Public response to suicide news reports as reflected in computerized text analysis of online reader comments

Previous research has documented the rise in rates of suicidal behaviors following media reports of celebrity suicide. Whereas most research has focused on documenting and analyzing suicide rates, little is known about more subtle psychological effects of celebrity suicide on the public, such as despair and feelings of abandonment. The Internet has revolutionized the responses […]

Language features and causes of suicide case from forensic linguistics point of view

This study aims to describe the psychological process, language features and the cause’s factors of student’s suicide notes. This study explores the power of linguistic variables to uncover the hidden meaning of suicide notes. This analysis uses computerized text analysis namely Linguistic Inquiry and Word Count (LIWC) program and forensic semantic analysis. The primary data […]

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 […]