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短期接触过泡推系统的极化效应有限:YouTube上的自然主义实验
Naijia Liu1, Xinlan Emily Hu2, Yasemin Savas3
1Department of Government, Harvard University, Cambridge, MA 02138.
概括
推算法对政治两极分化的影响有限. 操纵YouTube算法创建波器的实验对用户意见和政策态度的影响最小,挑战了常见的理论.
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
- 政治科学 政治科学是指政治学.
背景情况:
- 广泛流传的理论表明,推算法会产生"过泡"和"子洞",推动政治两极分化.
- 之前的研究面临的挑战是由于内容供应和用户需求之间的相互作用而孤立算法效应.
研究的目的:
- 实验测试推算法的因果关系对政治两极分化的影响.
- 调查操纵算法建议以模拟波和子洞是否会影响用户的意见和政策态度.
主要方法:
- 通过模仿YouTube的定制视频平台,对近9000名参与者进行了四次实验.
- 实验性地操纵了YouTube的推算法,以创建意识形态平衡和倾斜的内容选择.
- 分析了超过13万条被操纵的建议和31,000个平台互动,以评估媒体消费和政治态度.
主要成果:
- 操纵算法建议以创建波和子洞对用户意见的影响有限.
- 即使是对现实世界建议的显著,短期的干扰,对政策态度的因果关系影响也很小.
- 在这项研究中,没有发现算法诱导的两极化的一致证据.
结论:
- 这些发现使人们对算法驱动的政治两极分化普遍理论产生了怀疑.
- 对算法诱导的两极分化说法的证明负担可能已经转向了提出这些说法的人.
- 该方法为研究黑盒人工智能系统提供了一种新的方法,并揭示了实验中检测算法效应的实际限制.
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