通过宗教和非宗教公民之间的可见互动来衡量政治两极分化
Cantay Caliskan1, Liangze Ke2, Yichen Li2
1University of Rochester, Rochester, USA. cantay.caliskan@rochester.edu.
Scientific reports
|September 30, 2025
概括
研究人员开发了一种新的计算机视觉方法,通过分析街道视频中的行人距离来衡量政治两极分化. 研究结果显示,个人基于宗教信仰和性别进行自我隔离,这反映了社会规范.
科学领域:
- 计算社会科学 计算社会科学
- 计算机视觉 计算机视觉 计算机视觉
- 社会学 社会学 社会学
背景情况:
- 全球政治两极分化不断升级.
- 特别关注土耳其的世俗主义与政治伊斯兰分歧.
- 需要客观地衡量社会两极分化.
研究的目的:
- 引入一种基于计算机视觉的新方法来量化社会两极分化.
- 分析行人之间的空间距离作为两极分化的代理.
- 研究性别和宗教对土耳其社会隔离的影响.
主要方法:
- 利用了来自土耳其的1400多个街头视频,提取了约17万个行人.
- 采用YOLOv5算法用于行人检测和按性别和宗教信仰分类.
- 开发了新的2D到3D距离估计技术来计算相对行人距离.
主要成果:
- 个人倾向于与具有相似背景的人保持更紧密的亲密关系 (群体内亲密关系).
- 在非宗教男性和宗教女性之间观察到显著的空间距离,反之亦然.
- 已证明的社会因素显著地影响了群体间的距离.
结论:
- 开发的方法有效地通过使用行人接近来量化社会两极分化.
- 调查结果强调了性别,宗教信仰和文化规范对土耳其社会互动的影响.
- 该研究提供了土耳其政治两极分化分析的最大数据集.
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