寻找两极分化的社区和跟踪Twitter上的信息传播:关于爱尔兰堕胎公投的网络方法
Caroline B Pena1, Pádraig MacCarron1, David J P O'Sullivan1
1Mathematics Application Consortium for Science and Industry (MACSI), University of Limerick, Limerick, Ireland.
Royal Society open science
|January 16, 2025
概括
社交网络分析显示,在爱尔兰堕胎公投期间,反对派之间的信息流动有限. 这项研究强调了Twitter上的两极分化的社区如何在内部分享信息,而不是跨越分界.
科学领域:
- 社交网络分析 社交网络分析
- 计算社会科学 计算社会科学
- 信息传播 信息传播
背景情况:
- 社交网络对于理解社会互动,思想两极分化和信息传播至关重要.
- 推特是表达意见和传播信息的关键平台,特别是在两极分化的环境中.
研究的目的:
- 在辩论中使用Twitter数据识别对立方.
- 在爱尔兰堕胎公投期间观察两极分化的群体之间的信息传播模式.
- 开发一种方法来研究大型的,极化网络中的信息扩散.
主要方法:
- 收集了688,000多条与2018年爱尔兰堕胎公投相关的推文.
- 建立了一个基于用户提及和基于情感的同志关系的对话网络.
- 采用社区检测算法来隔离"是"和"不"支持者 (90.9%的准确率).
- 通过超过31,000个转发连串,追踪信息连串.
主要成果:
- 成功地将意识形态两极分化的群体 ("是"和"不"支持者) 隔离出来.
- 对连续转发的分析显示,在这些两极分化的社区之间传播的信息很少.
- 展示了一种方法来隔离和研究不同网络社区内和之间信息传播.
结论:
- 在两极分化的公共辩论中,信息传播在很大程度上包含在意识形态同质的群体内.
- 开发的方法有效地隔离了两极分化的社区,并在大型社交网络上跟踪信息流.
- 调查结果提供了关于社会两极分化背景下信息传播动态的见解.
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