量化机器人影响:对在线政治通信动态中复杂性和不确定性的信息理论分析
1Department of Communication, University of California, 1 Shields Avenue, Davis, CA 95616, USA.
Entropy (Basel, Switzerland)
|June 26, 2025
概括
政治机器人增加了在线政治讨论的复杂性和不确定性. 这项研究使用信息理论来分析机器人对通信动态的影响,对未来人工智能驱动的政治景观产生影响.
科学领域:
- 计算社会科学 计算社会科学
- 信息理论 信息理论
- 动态系统理论 动态系统理论
背景情况:
- 机器人在塑造在线民主进程方面发挥着越来越重要的作用.
- 以前的研究主要集中在机器人的个人层面影响上,忽视了宏观层面的沟通动态.
研究的目的:
- 检查政治机器人对在线政治讨论动态的宏观影响.
- 应用动态系统理论中的信息理论方法来量化机器人影响.
主要方法:
- 利用了源自动态系统理论的信息理论框架.
- 通过测量复杂性,可预测性和率 (不确定性) 来量化通信动态.
- 分析了来自Twitter的在线政治讨论数据集中的机器人活动.
主要成果:
- 发现机器人活动与在线政治沟通的复杂性增加有关.
- 机器人活动也与这些讨论的结构动态更大的不确定性相关.
- 调查结果突出了复杂的人工智能代理人进一步复杂化在线政治话语的潜力.
结论:
- 机器人活动显著改变了在线政治沟通动态的复杂性和不确定性.
- 信息理论框架为研究机器人影响提供了一个强大的方法.
- 结果表明,由于先进的人工智能,未来的在线政治环境可能变得更加复杂和不可预测.
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