Identifying Chinese social media users' need for affect from their online behaviors
文献类型:期刊论文
作者 | Deng, Hong1,2; Zhao, Nan1,2; Wang, Yilin1,2 |
刊名 | FRONTIERS IN PUBLIC HEALTH |
出版日期 | 2023-01-10 |
卷号 | 10页码:12 |
通讯作者邮箱 | nan zhao zhaonan@psych.ac.cn (nan zhao ) |
关键词 | need for affect social media online behavior mental health machine learning Extreme Gradient Boosting |
DOI | 10.3389/fpubh.2022.1045279 |
产权排序 | 1 |
文献子类 | 实证研究 |
英文摘要 | The need for affect (NFA), which refers to the motivation to approach or avoid emotion-inducing situations, is a valuable indicator of mental health monitoring and intervention, as well as many other applications. Traditionally, NFA has been measured using self-reports, which is not applicable in today's online scenarios due to its shortcomings in fast, large-scale assessments. This study proposed an automatic and non-invasive method for recognizing NFA based on social media behavioral data. The NFA questionnaire scores of 934 participants and their social media data were acquired. Then we run machine learning algorithms to train predictive models, which can be used to automatically identify NFA degrees of online users. The results showed that Extreme Gradient Boosting (XGB) performed best among several algorithms. The Pearson correlation coefficients between predicted scores and NFA questionnaire scores achieved 0.25 (NFA avoidance), 0.31 (NFA approach) and 0.34 (NFA total), and the split-half reliabilities were 0.66-0.70. Our research demonstrated that adolescents' NFA can be identified based on their social media behaviors, and opened a novel way of non-intrusively perceiving users' NFA which can be used for mental health monitoring and other situations that require large-scale NFA measurements. |
收录类别 | SCI ; SSCI |
WOS关键词 | INDIVIDUAL-DIFFERENCES ; PERSONALITY-TRAITS ; SUICIDE RISK ; COGNITION ; PERSUASION ; EMOTIONS ; GENDER |
WOS研究方向 | Public, Environmental & Occupational Health |
语种 | 英语 |
出版者 | FRONTIERS MEDIA SA |
WOS记录号 | WOS:000917672600001 |
源URL | [http://ir.psych.ac.cn/handle/311026/44614] |
专题 | 心理研究所_认知与发展心理学研究室 |
通讯作者 | Zhao, Nan |
作者单位 | 1.Univ Chinese Acad Sci, Dept Psychol, Beijing, Peoples R China 2.Chinese Acad Sci, Inst Psychol, Beijing, Peoples R China |
推荐引用方式 GB/T 7714 | Deng, Hong,Zhao, Nan,Wang, Yilin. Identifying Chinese social media users' need for affect from their online behaviors[J]. FRONTIERS IN PUBLIC HEALTH,2023,10:12. |
APA | Deng, Hong,Zhao, Nan,&Wang, Yilin.(2023).Identifying Chinese social media users' need for affect from their online behaviors.FRONTIERS IN PUBLIC HEALTH,10,12. |
MLA | Deng, Hong,et al."Identifying Chinese social media users' need for affect from their online behaviors".FRONTIERS IN PUBLIC HEALTH 10(2023):12. |
入库方式: OAI收割
来源:心理研究所
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