通过学习他人反来建模沉默螺旋和回声室
Sven Banisch1,2, Felix Gaisbauer2, Eckehard Olbrich2
1Institute of Technology Futures, Karlsruhe Institute of Technology, 76133 Karlsruhe, Germany.
Entropy (Basel, Switzerland)
|July 8, 2023
概括
社会反塑造了意见表达,导致在线网络中的沉默多数. 数字平台可以放大少数群体的声音或促进对立观点之间的竞争.
科学领域:
- 社会心理学 社会心理学
- 神经科学是一个神经科学.
- 计算社会科学 计算社会科学
背景情况:
- 了解意见动态和公共话语的机制.
- 调查社会反在表达意见中的作用.
- 检查社交媒体对沉默或放大声音的影响.
研究的目的:
- 开发一个理论模型,解释某些观点如何获得公众的声音,而使其他观点沉默.
- 探索社交媒体对论动态和公共话语的影响.
- 用计算模型将神经科学见解纳入社会反处理中.
主要方法:
- 基于对社会反处理的神经科学见解的理论模型的开发.
- 分析模拟社交网络中的意见动态,按意见进行排序.
- 检查沟通活动如何影响公众论的感知.
主要成果:
- 个人学会压制面临社会制裁的意见,从而可能使多数人沉默.
- 凝聚在一起的少数群体可以有效地强制更大,更不组织的大多数人保持沉默.
- 数字平台促进了有组织的意见团体,可能导致竞争加剧或压制不同的观点.
结论:
- 社会信息处理的基本机制对于理解大规模的计算机媒介意见动态至关重要.
- 社交媒体的结构可以显著改变公共话语的格局,影响哪些声音被听到.
- 该研究为分析个人社交反处理和在线集体意见形成之间的相互作用提供了一个框架.
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