在智利推特网络中检测和估计社交机器人的影响
Marcelo Mendoza1, Eliana Providel2, Marcelo Santos3
1Department of Computer Science, Pontificia Universidad Católica de Chile, Santiago, Chile.
Scientific reports
|March 19, 2024
概括
一种名为Botcheck的新方法有效地检测到恶意机器人在西班牙社交媒体上传播错误信息. 该工具的性能优于现有方法,并被用于识别2021年智利总统选举期间的机器人干预.
科学领域:
- 计算社会科学 计算社会科学
- 自然语言处理自然语言处理.
- 社交媒体分析 社交媒体分析
背景情况:
- 自动化机器人通过传播错误信息和操纵内容可见性,对在线信息完整性构成重大威胁.
- 现有的机器人检测工具通常对西班牙语内容缺乏有效性,依赖于没有西班牙语性能验证的基于英语的模型.
- 恶意机器人通过放大低质量的内容和协调垃圾邮件活动来破坏公民话语和政治动员.
研究的目的:
- 开发和评估一种有效的机器人检测方法,专门用于西班牙语社交媒体账户.
- 解决西班牙语数字环境中当前机器人检测工具的局限性.
- 分析机器人活动对政治竞选的影响,以2021年智利总统选举为案例研究.
主要方法:
- 开发Botcheck,这是一种在Twibot-20数据集的西班牙语子集上训练的新型机器人检测方法.
- 使用大量标记账户对比Botcheck与现有竞争方法的性能评估,包括深度学习方法.
- 应用Botcheck来分析2021年智利总统选举期间的机器人干预,随后对检测到的帐户进行外部验证.
主要成果:
- 与其他机器人检测方法相比,Botcheck在识别西班牙语机器人帐户方面表现优越,包括基于深度学习的方法.
- 对2021年智利总统大选的分析揭示了选举期间机器人账户干预的重大证据.
- 外部验证证实了Botcheck在准确识别真实世界的政治背景下恶意机器人帐户方面的高效性.
结论:
- 机器人检查提供了一个非常有效的解决方案,用于检测西班牙语社交媒体环境中的恶意机器人.
- 开发的方法为保护信息生态系统和了解机器人对政治过程的影响提供了有价值的工具.
- 针对总统候选人的机器人观察到的行为差异凸显了对机器人策略和缓解问题的持续研究的需要.
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