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Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST)

Background: Suicide is a serious social problem. Substantial efforts have been made to prevent suicide for many decades. The internet has become an important arena for suicide prevention and intervention. However, to the best of our knowledge, only one study has analyzed suicidal comments online fro...

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Autores principales: Liu, Xingyun, Liu, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307041/
https://www.ncbi.nlm.nih.gov/pubmed/34356225
http://dx.doi.org/10.3390/healthcare9070847
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author Liu, Xingyun
Liu, Xiaoqian
author_facet Liu, Xingyun
Liu, Xiaoqian
author_sort Liu, Xingyun
collection PubMed
description Background: Suicide is a serious social problem. Substantial efforts have been made to prevent suicide for many decades. The internet has become an important arena for suicide prevention and intervention. However, to the best of our knowledge, only one study has analyzed suicidal comments online from the perspective of rhetorical structure with incomplete rhetorical relations. We aimed to examine the rhetorical differences between Chinese social media users who died by suicide and those without suicidal ideation. Methods: The posts of 15 users who died by suicide and 15 not suffering from suicide ideation were annotated by five postgraduates with expertise in analyzing suicidal posts based on rhetorical structure theory (RST). Group differences were compared via a chi-square test. Results: Results showed that users who died by suicide posted significantly more posts and used more rhetorical relations. Moreover, the two groups displayed significant differences in 17 out of 23 rhetorical relations. Limitations: Because this study is largely exploratory and tentative, caution should be taken in generalizing our findings. Conclusions: Our results expand the methods of RST to the online suicidal identification field. There are implications for population-based suicide prevention by combining rhetorical structures with context analysis.
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spelling pubmed-83070412021-07-25 Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST) Liu, Xingyun Liu, Xiaoqian Healthcare (Basel) Article Background: Suicide is a serious social problem. Substantial efforts have been made to prevent suicide for many decades. The internet has become an important arena for suicide prevention and intervention. However, to the best of our knowledge, only one study has analyzed suicidal comments online from the perspective of rhetorical structure with incomplete rhetorical relations. We aimed to examine the rhetorical differences between Chinese social media users who died by suicide and those without suicidal ideation. Methods: The posts of 15 users who died by suicide and 15 not suffering from suicide ideation were annotated by five postgraduates with expertise in analyzing suicidal posts based on rhetorical structure theory (RST). Group differences were compared via a chi-square test. Results: Results showed that users who died by suicide posted significantly more posts and used more rhetorical relations. Moreover, the two groups displayed significant differences in 17 out of 23 rhetorical relations. Limitations: Because this study is largely exploratory and tentative, caution should be taken in generalizing our findings. Conclusions: Our results expand the methods of RST to the online suicidal identification field. There are implications for population-based suicide prevention by combining rhetorical structures with context analysis. MDPI 2021-07-05 /pmc/articles/PMC8307041/ /pubmed/34356225 http://dx.doi.org/10.3390/healthcare9070847 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Xingyun
Liu, Xiaoqian
Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST)
title Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST)
title_full Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST)
title_fullStr Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST)
title_full_unstemmed Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST)
title_short Online Suicide Identification in the Framework of Rhetorical Structure Theory (RST)
title_sort online suicide identification in the framework of rhetorical structure theory (rst)
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8307041/
https://www.ncbi.nlm.nih.gov/pubmed/34356225
http://dx.doi.org/10.3390/healthcare9070847
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