人类和机器人的行为模式在Twitter上关于可持续发展的对话
Mary Luz Mouronte-López1, Javier Gómez Sánchez-Seco2,3, Rosa M Benito3
1Higher Polytechnic School, Universidad Francisco de Vitoria, Carretera Pozuelo a, Av de Majadahonda, Km 1.800, 28223, Madrid, Spain. maryluz.mouronte@ufv.es.
Scientific reports
|February 8, 2024
概括
这项研究分析了推特上的可持续性讨论,区分了人类和机器人账户. 调查结果显示,大多数消息都带来了积极的情绪,机器人发布了更中立的内容和不同的关键词使用模式.
科学领域:
- 社会科学 社会科学 社会科学
- 计算机科学 计算机科学
- 环境科学 环境科学
背景情况:
- 可持续性是一个关键的全球问题.
- 推特是公共话语的主要社交网络.
- 了解在线可持续性对话至关重要.
研究的目的:
- 在Twitter上分析与可持续性相关的活动.
- 模拟和区分人类和机器人帐户.
- 在可持续性讨论中调查用户行为和情绪.
主要方法:
- 开发了一个数学模型来分类Twitter帐户 (机器人与人类).
- 使用集群分析来识别发布和转发的模式.
- 进行了基于词典的情绪分析 (2006-2022) 和关键词中心性分析.
主要成果:
- 在人类和机器人用户之间确定了不同的行为模式.
- 在这两种帐户类型的消息中发现主要是积极的情绪.
- 与人类相比,机器人表现出更高比例的中立信息.
- 观察到人类和机器人之间关键词使用的共同点和差异.
结论:
- 推特是可持续发展话语的重要平台.
- 机器人和人类用户在他们的在线可持续性参与中表现出独特的特征.
- 情绪分析和行为模式为在线社会问题提供了洞察力.
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