在中国的社交媒体上,公众对自闭症的担忧和态度基于K-means算法
Qi Zhou1, Yuling Lei1, Hang Du1
1Hangzhou Normal University, 2318th Yuhang Tang Avenue, Hangzhou, 311121, Zhejiang Province, China.
Scientific reports
|September 13, 2023
概括
在网上,自闭症的讨论越来越多,自闭症患者和他们的父母正在推动对话. 关键主题包括个人经历,社会观点,照顾者压力和一般自闭症信息.
科学领域:
- 社会科学 社会科学 社会科学
- 公共卫生 公共卫生
- 沟通研究 沟通研究
背景情况:
- 越来越多的公众对自闭症谱系障碍 (ASD) 的兴趣.
- 需要了解社区对自闭症的看法和讨论.
- 社交媒体作为论和个人叙述的平台.
研究的目的:
- 确定公共话语中关于自闭症的普遍主题和态度.
- 分析社交媒体平台Zhihu上的在线对话.
- 了解自闭症感知的不断变化的景观.
主要方法:
- 分析了来自Zhihu.hu的1,740,826个文字的文本数据.
- 术语频率-反向文档频率 (TF-IDF) 算法的应用.
- 使用K-means集群用于主题识别和分类.
主要成果:
- 近年来,自闭症相关讨论的受欢迎程度大幅上升.
- 话语的主要贡献者是自闭症患者及其父母.
- 出现了四个主要主题集群:自我经验,外部观点,照顾者的负担和一般信息.
结论:
- 患有自闭症的人会经历显著的负面情绪.
- 对自闭症个体的外部看法通常受到刻板印象的影响.
- 照顾者面临着巨大的经济和心理压力.
- 与自闭症相关的疾病给受影响的个人和家庭带来了复杂的挑战.
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