The establishment and evaluation of the automatic crisis balance analysis model for social network users based on artificial intelligence technology
Authors: 
Hu Shengxin, Wang Qing, Chen Lu, Zhang Xingxin, Huang Leiqing, He Tianyu, Li Songhe, Dong Xiangmin, Yang BingxiangAuthors Info & Claims
Hu Shengxin, Wang Qing, Chen Lu, Zhang Xingxin, Huang Leiqing, He Tianyu, Li Songhe, Dong Xiangmin, Yang BingxiangAuthors Info & ClaimsPages 157 - 161
Abstract
Online social media provides people with a platform to express their emotions anonymously. Social media has been identified as an important data source for suicide prevention related to emotional problems in China. Almost Three million messages were published by 450,000 users in a particular Chinese social media data base. This study aims to develop a Crisis Balance Analysis Model based on concepts of "balancing factors" as described by Aguilera. Through interactions with psychological experts, deep learning architecture that was built and refined. Three annotation levels free annotations (zero cost), easy annotations (by psychology students), and hard annotations (by psychology experts) were used. Our Model was evaluated accordingly and showed that its performance at each level was promising. Finally, suicide risks, cognitive distortions and interpersonal problems could be identified for messages from social media users using this model, which providing basis for proactive crisis intervention.
References
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Cheng, Q., Li, T. M., Kwok, C. L., Zhu, T., and Yip, P. S. (2017). Assessing suicide risk and emotional distress in Chinese social media: a text mining and machine learning study. J. Med. Internet Res. 19:e243.
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Internet Network Information Center of China. (2019b). The 44th Statistical Report on Internet Development in China. Retrieved from http://www.cnnic.net.cn/hlwfzyj/hlwxzbg/hlwtjbg/201908/t20190830_70800.htm
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Chen P, Qian YX, Huang ZS, Zhao C, Liu ZC, Yang BX, et al. Negative emotional characteristics of Weibo "Tree Hole" users. Chinese Mental Health Journal (2020) 34(5):437--44. (in Chinese)
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- The establishment and evaluation of the automatic crisis balance analysis model for social network users based on artificial intelligence technology
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Published In
October 2021
593 pages
ISBN:9781450395588
DOI:10.1145/3500931
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Association for Computing Machinery
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Published: 22 December 2021
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ISAIMS 2021
ISAIMS 2021: 2nd International Symposium on Artificial Intelligence for Medicine Sciences
October 29 - 31, 2021
Beijing, China
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