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公民社会和在移民治理中的算法质疑的 (不) 可能性
Stoyanka Andreeva Eneva1, Fredy Mora-Gámez1,2
1Department of Thematic Studies, Linköping University, Linköping, Sweden.
Frontiers in sociology
|October 27, 2025
概括
公民社会组织面临的挑战是挑战移民治理中的算法系统. 尽管人们意识到算法伤害,但能力分散和限制性政策限制了瑞典和挪威的有效抵抗力.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 法律 法律 法律 法律
背景情况:
- 算法系统在移民治理中越来越多地使用.
- 公民社会组织 (CSO) 是挑战这些制度的关键参与者.
- 了解对算法治理的质疑对于问责至关重要.
研究的目的:
- 检查在移民治理中质疑算法系统的可能性和局限性.
- 分析瑞典和挪威不同类型的民间社会组织如何应对移民中的自动化.
- 探索算法可对抗性的社会政治层面.
主要方法:
- 定性经验研究. 定性经验研究.
- 与民间社会组织进行半结构化采访.
- 文档分析和数字民族学.
主要成果:
- 在民间社会组织中提高对算法伤害的认识.
- 在不同类型的民间社会组织 (数字权利,移民团结,混合) 中,抵抗能力分散.
- 不同群体优先考虑隐私,生存需求和结构性障碍.
结论:
- 算法可对抗性是一种社会政治过程,而不仅仅是技术上的.
- 快速数字化和限制性移民政策的高度信任的福利国家限制了民间社会组织的竞争.
- 斯堪的纳维亚的经验凸显了民间社会在数字治理方面的潜力和局限性.
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