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社会反在在线视频直播聊天中放大了情感语言
Yishan Luo1,2, Didier Sornette1, Sandro Claudio Lera3,4,5
1Institute of Risk Analysis, Prediction and Management, Southern University of Science and Technology, Shenzhen, China.
Communications psychology
|November 29, 2025
概括
在线情绪受到社交反的影响是视频内容的4倍. 积极的情绪传播得更快,而消极的情绪持续时间更长,这揭示了复杂的在线情绪动态.
科学领域:
- 计算社会科学 计算社会科学
- 情感计算是一种情感计算.
- 在线沟通动态 在线沟通动态
背景情况:
- 人与人之间的互动越来越多地发生在网上,放大和扭曲情感表达和感知.
- 在线情绪动态的驱动因素,特别是外部刺激和社会反之间的平衡,尚未得到充分理解.
研究的目的:
- 在YouTube直播聊天中模拟六种基本情绪的时间动态.
- 区分视频内容 (外源) 与同行互动 (内源) 对情绪表达的影响.
- 分析交叉情感依赖和传染模式.
主要方法:
- 多变量霍克斯自我激发点过程的校准.
- 在YouTube直播聊天数据中分析六种基本情绪的时间表达.
- 外源 (视频内容) 和内源 (同行互动) 影响的量化.
主要成果:
- 在线情感表达是同行互动驱动的高达四倍,而不是视频内容.
- 积极的情绪更具传染性 (传播速度快3倍),而负面的情绪更难忘 (持续时间长2倍).
- 观察到不对称的交叉激发:负面情绪可以触发积极的情绪 (trolling),但不能反过来.
结论:
- 社交互动在塑造在线情感动态方面发挥着至关重要的作用.
- 在线平台可以放大情绪传染,并可能成为情绪操纵的网站.
- 随着人工智能变得越来越复杂,这些发现对理解人与人工智能的互动有意义.
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