Microblog discourse analysis for parenting style assessment
IntroductionParents' negative parenting style is an important cause of anxiety, depression, and suicide among university students. Given the widespread use of social media, microblogs offer a new and promising way for non-invasive, large-scale assessment of parenting styles of students' pa...
Saved in:
| Main Authors: | , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2025-02-01
|
| Series: | Frontiers in Public Health |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1505825/full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1823859375611052032 |
|---|---|
| author | Zihan Wei Lei Cao Zhihong Qiao Fang Luo Xin Wang Junrui Tian Qi Li |
| author_facet | Zihan Wei Lei Cao Zhihong Qiao Fang Luo Xin Wang Junrui Tian Qi Li |
| author_sort | Zihan Wei |
| collection | DOAJ |
| description | IntroductionParents' negative parenting style is an important cause of anxiety, depression, and suicide among university students. Given the widespread use of social media, microblogs offer a new and promising way for non-invasive, large-scale assessment of parenting styles of students' parents.MethodsIn this study, we have two main objectives: (1) investigating the correlation between students' microblog discourses and parents' parenting styles and (2) devising a method to predict students' parenting styles from their microblog discourses. We analyzed 111,258 posts from 575 university students using frequency analysis to examine differences in the usage of topical and emotional word across different parenting styles. Informed by these insights, we developed an effective parenting style assessment method, including a correlation injection module.ResultsExperimental results on the 575 students show that our method outperforms all the baseline NLP methods (including ChatGPT-4), achieving good assessment performance by reducing MSE by 14% to 0.12.DiscussionOur study provides a pioneering microblog-based parenting style assessment tool and constructs a dataset, merging insights from psychology and computational science. On the one hand, our study advances the understanding of how parenting styles are reflected in the linguistic and emotional expressions of students on microblogs. On the other hand, our study provides an assisting tool that could be used by healthcare institutions to identify students' parenting styles. It facilitates the identification of suicide risk factors among microblog student users, and enables timely interventions to prevent suicides, which enhances human wellbeing and saves lives. |
| format | Article |
| id | doaj-art-123c86e6054a474d99abd367aced068a |
| institution | Kabale University |
| issn | 2296-2565 |
| language | English |
| publishDate | 2025-02-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Public Health |
| spelling | doaj-art-123c86e6054a474d99abd367aced068a2025-02-11T05:10:19ZengFrontiers Media S.A.Frontiers in Public Health2296-25652025-02-011310.3389/fpubh.2025.15058251505825Microblog discourse analysis for parenting style assessmentZihan Wei0Lei Cao1Zhihong Qiao2Fang Luo3Xin Wang4Junrui Tian5Qi Li6School of Economics and Management, Beijing University of Chemical Technology, Beijing, ChinaFaculty of Psychology, Beijing Normal University, Beijing, ChinaFaculty of Psychology, Beijing Normal University, Beijing, ChinaFaculty of Psychology, Beijing Normal University, Beijing, ChinaDepartment of Engineering Science, University of Oxford, Oxford, United KingdomDepartment of Computer Science and Technology, Tsinghua University, Beijing, ChinaFaculty of Psychology, Beijing Normal University, Beijing, ChinaIntroductionParents' negative parenting style is an important cause of anxiety, depression, and suicide among university students. Given the widespread use of social media, microblogs offer a new and promising way for non-invasive, large-scale assessment of parenting styles of students' parents.MethodsIn this study, we have two main objectives: (1) investigating the correlation between students' microblog discourses and parents' parenting styles and (2) devising a method to predict students' parenting styles from their microblog discourses. We analyzed 111,258 posts from 575 university students using frequency analysis to examine differences in the usage of topical and emotional word across different parenting styles. Informed by these insights, we developed an effective parenting style assessment method, including a correlation injection module.ResultsExperimental results on the 575 students show that our method outperforms all the baseline NLP methods (including ChatGPT-4), achieving good assessment performance by reducing MSE by 14% to 0.12.DiscussionOur study provides a pioneering microblog-based parenting style assessment tool and constructs a dataset, merging insights from psychology and computational science. On the one hand, our study advances the understanding of how parenting styles are reflected in the linguistic and emotional expressions of students on microblogs. On the other hand, our study provides an assisting tool that could be used by healthcare institutions to identify students' parenting styles. It facilitates the identification of suicide risk factors among microblog student users, and enables timely interventions to prevent suicides, which enhances human wellbeing and saves lives.https://www.frontiersin.org/articles/10.3389/fpubh.2025.1505825/fullparenting stylemicroblog discoursedeep learningparenting style datasetsocial media |
| spellingShingle | Zihan Wei Lei Cao Zhihong Qiao Fang Luo Xin Wang Junrui Tian Qi Li Microblog discourse analysis for parenting style assessment Frontiers in Public Health parenting style microblog discourse deep learning parenting style dataset social media |
| title | Microblog discourse analysis for parenting style assessment |
| title_full | Microblog discourse analysis for parenting style assessment |
| title_fullStr | Microblog discourse analysis for parenting style assessment |
| title_full_unstemmed | Microblog discourse analysis for parenting style assessment |
| title_short | Microblog discourse analysis for parenting style assessment |
| title_sort | microblog discourse analysis for parenting style assessment |
| topic | parenting style microblog discourse deep learning parenting style dataset social media |
| url | https://www.frontiersin.org/articles/10.3389/fpubh.2025.1505825/full |
| work_keys_str_mv | AT zihanwei microblogdiscourseanalysisforparentingstyleassessment AT leicao microblogdiscourseanalysisforparentingstyleassessment AT zhihongqiao microblogdiscourseanalysisforparentingstyleassessment AT fangluo microblogdiscourseanalysisforparentingstyleassessment AT xinwang microblogdiscourseanalysisforparentingstyleassessment AT junruitian microblogdiscourseanalysisforparentingstyleassessment AT qili microblogdiscourseanalysisforparentingstyleassessment |