A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China

Bing Xiang Yang; Lin Xia; Lianzhong Liu; Wentao Nie; Qian Liu; Xin Yi Li; Meng Qin Ao; Xiao Qin Wang; Ya Dian Xie; Zhongchun Liu; Yi Jia Huang; Zhisheng Huang; Xuan Gong; Dan Luo

doi:10.3389/fpsyg.2021.674481

A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China

Bing Xiang Yang, Lin Xia, Lianzhong Liu, Wentao Nie, Qian Liu, Xin Yi Li, Meng Qin Ao, Xiao Qin Wang, Ya Dian Xie, Zhongchun Liu, Yi Jia Huang, Zhisheng Huang, Xuan Gong, Dan Luo^*

^*Corresponding author for this work

Research output: Contribution to Journal › Article › Academic › peer-review

Abstract

“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.

Original language	English
Article number	674481
Pages (from-to)	1-9
Number of pages	9
Journal	Frontiers in Psychology
Volume	12
Issue number	October
Early online date	25 Oct 2021
DOIs	https://doi.org/10.3389/fpsyg.2021.674481
Publication status	Published - Oct 2021

Bibliographical note

Funding Information:
Sincere thanks are given to Sharon R. Redding (EdD, RN, CNE) for assistance in editing.

Publisher Copyright:
Copyright © 2021 Yang, Xia, Liu, Nie, Liu, Li, Ao, Wang, Xie, Liu, Huang, Huang, Gong and Luo.

Funding

Sincere thanks are given to Sharon R. Redding (EdD, RN, CNE) for assistance in editing.

Funders	Funder number
Ministry of Education of the People's Republic of China

Keywords

artificial intelligence
crisis intervention
knowledge graph
social media
suicide
tree hole of Weibo

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.3389/fpsyg.2021.674481

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Yang, B. X., Xia, L., Liu, L., Nie, W., Liu, Q., Li, X. Y., Ao, M. Q., Wang, X. Q., Xie, Y. D., Liu, Z., Huang, Y. J., Huang, Z., Gong, X., & Luo, D. (2021). A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China. Frontiers in Psychology, 12(October), 1-9. Article 674481. https://doi.org/10.3389/fpsyg.2021.674481

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title = "A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China",

abstract = "“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.",

keywords = "artificial intelligence, crisis intervention, knowledge graph, social media, suicide, tree hole of Weibo",

author = "Yang, {Bing Xiang} and Lin Xia and Lianzhong Liu and Wentao Nie and Qian Liu and Li, {Xin Yi} and Ao, {Meng Qin} and Wang, {Xiao Qin} and Xie, {Ya Dian} and Zhongchun Liu and Huang, {Yi Jia} and Zhisheng Huang and Xuan Gong and Dan Luo",

note = "Funding Information: Sincere thanks are given to Sharon R. Redding (EdD, RN, CNE) for assistance in editing. Publisher Copyright: Copyright {\textcopyright} 2021 Yang, Xia, Liu, Nie, Liu, Li, Ao, Wang, Xie, Liu, Huang, Huang, Gong and Luo.",

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Yang, BX, Xia, L, Liu, L, Nie, W, Liu, Q, Li, XY, Ao, MQ, Wang, XQ, Xie, YD, Liu, Z, Huang, YJ, Huang, Z, Gong, X & Luo, D 2021, 'A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China', Frontiers in Psychology, vol. 12, no. October, 674481, pp. 1-9. https://doi.org/10.3389/fpsyg.2021.674481

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AU - Yang, Bing Xiang

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AU - Liu, Zhongchun

AU - Huang, Yi Jia

AU - Huang, Zhisheng

AU - Gong, Xuan

AU - Luo, Dan

N1 - Funding Information: Sincere thanks are given to Sharon R. Redding (EdD, RN, CNE) for assistance in editing. Publisher Copyright: Copyright © 2021 Yang, Xia, Liu, Nie, Liu, Li, Ao, Wang, Xie, Liu, Huang, Huang, Gong and Luo.

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N2 - “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.

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A Suicide Monitoring and Crisis Intervention Strategy Based on Knowledge Graph Technology for “Tree Hole” Microblog Users in China

Abstract

Bibliographical note

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Keywords

UN SDGs

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