两极化政治民意调查:可视化设计选择如何塑造论并增加政治两极化
IEEE transactions on visualization and computer graphics
|October 23, 2023
概括
数据可视化可以影响意见,可能增加政治两极分化. 每个政党提交数据鼓励一致性,扩大群体之间的态度差距.
科学领域:
- 社会心理学 社会心理学
- 数据可视化研究 研究 数据可视化研究
- 政治科学 政治科学是指政治学.
背景情况:
- 数据可视化主要用于认知任务增强.
- 视觉化设计对社会态度,价值观和政治两极分化的影响尚未得到充分研究.
- 数据呈现中的框架选择可能与社会认知偏见相互作用.
研究的目的:
- 研究数据可视化框架如何影响社会一致性和政治两极分化.
- 检查视觉化党派分裂是否影响观众对公共政策的态度.
- 了解数据可视化对意见和价值观的二级影响.
主要方法:
- 使用群众工作者进行了三项实验.
- 参与者观看模拟的民意调查数据可视化与不同的框架 (党派与非党派).
- 对公共政策的态度在接触可视化之前和之后被测量.
主要成果:
- 参与者的态度显著向可视化中呈现的群体态度转移.
- 视觉化对政治党的数据构成框架,增加了党内态度的分歧.
- 暴露于党派数据框架引发了社会一致性和放大了两极分化.
结论:
- 数据可视化可以显著影响个人态度并促进社会一致性.
- 可视化党派数据可以通过增加党内分歧加剧政治两极分化.
- 仔细考虑可视化框架对于减轻意外的社会和政治后果至关重要.
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