2010年至2022年使用社交媒体数据对日本老年司机的公开讨论:纵向分析
Akito Nakanishi1, Masao Ichikawa2, Yukie Sano3
1Graduate School of Science and Technology, University of Tsukuba, Ibaraki, Japan.
JMIR infodemiology
|June 16, 2025
概括
在日本推特上关于老年司机的公共话语显示,尽管事故发生率下降,但负面情绪和感知风险的增加. 这凸显了对老年人流动性的均衡理解和政策审查的需要.
科学领域:
- 社会科学 社会科学 社会科学
- 老年学是一门学科.
- 运输研究 运输研究
背景情况:
- 全球人口老龄化加剧了对老年司机的担忧.
- 日本的调查显示,公众对老年司机的负面情绪持续存在,与他们的实际安全记录形成鲜明对比.
- 社交媒体话语显著塑造了公众对老年司机的看法.
研究的目的:
- 使用Twitter (X) 数据量化日本老年司机的长期公共话语.
- 分析有关老年司机的推文中的情绪,主题及其相关性.
- 了解公众认知与实际驾驶安全数据的演变.
主要方法:
- 收集了2,625,807条与2010-2022年老司机相关的日本推文.
- 使用Linguistic Inquiry和Word Count字典进行情感分析.
- 用于主题建模和与崩率的相关性分析的非负矩阵因子化.
主要成果:
- 推特量随着时间的推移而增加,与重大交通事故相关的峰值.
- 主要被确定为负面情绪 (62.42%),愤怒 (17.38%),焦虑 (18.59%) 和风险 (58.15%).
- "碰撞事件"主题与负面情绪 (r=0.76) 和风险 (r=0.72) 有很强的相关性.
结论:
- 对13年来推特数据的分析揭示了一个悖论:尽管老年司机事故率下降,但消极情绪和感知风险的增加.
- 研究结果表明,需要重新评估许可政策,并促进自动驾驶系统等先进技术.
- 为了减轻偏见和支持老年人的安全流动,更平衡的公众理解至关重要.
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