一个羽毛的BERT:通过信息理论和语言模型研究集团内部和集团内部的沟通
1Communication Studies Saddleback Community College, Mission Viejo, CA, USA. zrosen@saddleback.edu.
Behavior research methods
|November 29, 2023
概括
本研究引入了一种新的计算模型,以量化衡量语言融合,这是群体认同和沟通的关键因素. 该模型有效地分析了大型数据集,揭示了社会动态如何影响在线社区的语言使用.
科学领域:
- 计算语言学 计算语言学
- 社会心理学 社会心理学
- 信息理论 信息理论
背景情况:
- 语言的变化服务于社会功能,语言的融合和分歧对于群体认同至关重要.
- 语言融合的定量测量对于测试通信假设至关重要.
- 现有的方法可能缺乏有效分析大规模语言数据的能力.
研究的目的:
- 通过信息理论提供语言融合的定量解释.
- 开发一个计算模型来测量和测试大数据中的语言融合.
- 证明模型在分析对话和在线社区数据中的实用性.
主要方法:
- 开发了基于信息理论的语言融合的定量解释.
- 基于神经网络语言模型构建了一个计算模型.
- 应用该模型来分析双向对话和基于互联网的社区 (r/MensRights,r/MensLib).
主要成果:
- 开发的测量是敏感的语言融合跨对话转折.
- 该测量有效地捕捉了社会因素对在线社区融合的影响.
- 在不同的在线社区之间,在调解融合的社会因素中发现了差异.
结论:
- 计算模型为量化大型数据集中的语言融合提供了一个强大的工具.
- 这些发现强调了社会因素在塑造在线语言使用和群体身份的作用.
- 这项研究为语义融合分析提供了重要的方法和理论含义.
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