Department of Education, Kyonggi University, Suwon, South Korea.
Faculty of Humanities, Social Sciences, and Theology, University of Erlangen-Nuremberg, Nuremberg, Germany.
Front Public Health. 2021 Oct 12;9:759802. doi: 10.3389/fpubh.2021.759802. eCollection 2021.
Online inquiry platforms, which is where a person can anonymously ask questions, have become an important information source for those who are concerned about social stigma and discrimination that follow mental disorders. Therefore, examining what people inquire about regarding mental disorders would be useful when designing educational programs for communities. The present study aimed to examine the contents of the queries regarding mental disorders that were posted on online inquiry platforms. A total of 4,714 relevant queries from the two major online inquiry platforms were collected. We computed word frequencies, centralities, and latent Dirichlet allocation (LDA) topic modeling. The words like symptom, hospital and treatment ranked as the most frequently used words, and the word my appeared to have the highest centrality. LDA identified four latent topics: (1) the understanding of general symptoms, (2) a disability grading system and welfare entitlement, (3) stressful life events, and (4) social adaptation with mental disorders. People are interested in practical information concerning mental disorders, such as social benefits, social adaptation, more general information about the symptoms and the treatments. Our findings suggest that instructions encompassing different scopes of information are needed when developing educational programs.
在线咨询平台是一个人们可以匿名提问的地方，对于那些担心精神障碍带来的社会耻辱和歧视的人来说，它已经成为一个重要的信息来源。因此，在为社区设计教育项目时，研究人们对精神障碍的咨询内容将是很有帮助的。本研究旨在考察在线咨询平台上发布的关于精神障碍的咨询内容。共收集了来自两个主要在线咨询平台的 4714 个相关查询。我们计算了词频、中心度和潜在狄利克雷分配（LDA）主题建模。像症状、医院和治疗这样的词被认为是使用频率最高的词，而单词 my 似乎具有最高的中心度。LDA 确定了四个潜在主题：（1）一般症状的理解，（2）残疾分级系统和福利权利，（3）生活压力事件，（4）精神障碍的社会适应。人们对精神障碍的实际信息很感兴趣，例如社会福利、社会适应、更一般的症状和治疗信息。我们的研究结果表明，在开发教育项目时需要包含不同范围信息的指导。
