在社交网络中,在感知偏见下,意见级联
Hao Yu1, Bin Xue1, Jianlin Zhang1
1Research Center for Complexity Sciences, Hangzhou Normal University, Hangzhou 311121, Zhejiang, China.
Chaos (Woodbury, N.Y.)
|November 1, 2023
概括
了解意见级流是关键的. 这项研究表明,当集体固执程度低时,共识形式是存在的,而回声室则是由于社交网络中的偏见导致的分歧.
科学领域:
- 社交网络分析分析
- 意见的动态意见的动态.
- 计算社会科学 计算社会科学
背景情况:
- 意见级流对于理解共识和分歧至关重要.
- 偏见观念对意见级联的影响还没有得到充分的研究.
- 现有的模型往往忽略了全球和本地信息之间的相互作用.
研究的目的:
- 调查知觉偏见对社交网络意见布的影响.
- 引入和分析意见动态的门模型.
- 确定导致共识与分歧的条件.
主要方法:
- 使用值模型模拟意见级联过程.
- 对不同程度的感知偏见和固性的社交网络进行分析.
- 审查共识和分歧之间的阶段过渡.
主要成果:
- 只有当集体固执低于关键值时,才能达成共识.
- 减少固性增加了第一和第二阶段过渡的发生率.
- 意见分歧从回声室中产生,在那里有偏见的看法阻止了意见侵蚀.
结论:
- 感知偏见显著影响意见形成和级联动态.
- 反响室有助于持久的分歧.
- 该研究为理解和潜在地减轻在偏见信息环境中的分歧提供了一个框架.
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