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A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China
“Zou Fan” is currently the largest “tree hole” on Weibo, where people having suicidal ideation often express their thoughts and use this channel to seek support. Therefore, early suicide monitoring and timely crisis intervention based on artificial intelligence technology are needed for this social...
Autores principales: | , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573267/ https://www.ncbi.nlm.nih.gov/pubmed/34759854 http://dx.doi.org/10.3389/fpsyg.2021.674481 |
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author | Yang, Bing Xiang Xia, Lin Liu, Lianzhong Nie, Wentao Liu, Qian Li, Xin Yi Ao, Meng Qin Wang, Xiao Qin Xie, Ya Dian Liu, Zhongchun Huang, Yi Jia Huang, Zhisheng Gong, Xuan Luo, Dan |
author_facet | Yang, Bing Xiang Xia, Lin Liu, Lianzhong Nie, Wentao Liu, Qian Li, Xin Yi Ao, Meng Qin Wang, Xiao Qin Xie, Ya Dian Liu, Zhongchun Huang, Yi Jia Huang, Zhisheng Gong, Xuan Luo, Dan |
author_sort | Yang, Bing Xiang |
collection | PubMed |
description | “Zou Fan” is currently the largest “tree hole” on Weibo, where people having suicidal ideation often express their thoughts and use this channel to seek support. Therefore, early suicide monitoring and timely crisis intervention based on artificial intelligence technology are needed for this social media user group. This research was based on the knowledge graph technology, whereby “Tree Hole Intelligent Agent” (i.e., Artificial Intelligence Program) was used to identify “Zou Fan Tree Hole” users at high risk for suicide, and then, the “Tree Hole Action” carried out proactive suicide crisis intervention with them. The “Tree Hole Action” has temporarily prevented 3,629 potential suicides. The “Tree Hole Action” plays a significant role in suicide risk monitoring and crisis intervention for social media users and has been seen to have an important social impact. |
format | Online Article Text |
id | pubmed-8573267 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-85732672021-11-09 A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China Yang, Bing Xiang Xia, Lin Liu, Lianzhong Nie, Wentao Liu, Qian Li, Xin Yi Ao, Meng Qin Wang, Xiao Qin Xie, Ya Dian Liu, Zhongchun Huang, Yi Jia Huang, Zhisheng Gong, Xuan Luo, Dan Front Psychol Psychology “Zou Fan” is currently the largest “tree hole” on Weibo, where people having suicidal ideation often express their thoughts and use this channel to seek support. Therefore, early suicide monitoring and timely crisis intervention based on artificial intelligence technology are needed for this social media user group. This research was based on the knowledge graph technology, whereby “Tree Hole Intelligent Agent” (i.e., Artificial Intelligence Program) was used to identify “Zou Fan Tree Hole” users at high risk for suicide, and then, the “Tree Hole Action” carried out proactive suicide crisis intervention with them. The “Tree Hole Action” has temporarily prevented 3,629 potential suicides. The “Tree Hole Action” plays a significant role in suicide risk monitoring and crisis intervention for social media users and has been seen to have an important social impact. Frontiers Media S.A. 2021-10-25 /pmc/articles/PMC8573267/ /pubmed/34759854 http://dx.doi.org/10.3389/fpsyg.2021.674481 Text en Copyright © 2021 Yang, Xia, Liu, Nie, Liu, Li, Ao, Wang, Xie, Liu, Huang, Huang, Gong and Luo. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Psychology Yang, Bing Xiang Xia, Lin Liu, Lianzhong Nie, Wentao Liu, Qian Li, Xin Yi Ao, Meng Qin Wang, Xiao Qin Xie, Ya Dian Liu, Zhongchun Huang, Yi Jia Huang, Zhisheng Gong, Xuan Luo, Dan A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China |
title | A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China |
title_full | A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China |
title_fullStr | A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China |
title_full_unstemmed | A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China |
title_short | A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China |
title_sort | suicide monitoring and crisis intervention strategy based on knowledge graph technology for “tree hole” microblog users in china |
topic | Psychology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8573267/ https://www.ncbi.nlm.nih.gov/pubmed/34759854 http://dx.doi.org/10.3389/fpsyg.2021.674481 |
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