机器可以复制人类吗? 关于在开放的社交网络上对激进化内容的统一理解
概括
自动化文本分析可以在网上暴力极端主义宣传中识别共同的主题,但与孤独狼攻击等细微概念作斗争. 需要进一步开发,以匹配人类的理解,以有效检测激进化内容.
科学领域:
- 计算机科学 计算机科学
- 社会科学 社会科学 社会科学
- 安全研究 安全研究
背景情况:
- 互联网已成为暴力极端组织在全球传播宣传的关键工具.
- 目前分析在线极端主义内容的方法在很大程度上依赖于人类编程人员,这带来了与倦怠,压力和数据可靠性相关的挑战.
- 自动分类提供了一个潜在的解决方案,但需要对人类编码进行验证.
研究的目的:
- 为了比较三个文本分析软件与人类编码器在分类来自暴力极端组织的在线内容方面的有效性.
- 评估自动化程序在检测流行和细微极端主义主题时的稳定性.
- 为开发更准确的自动化系统提供信息,用于识别激进化材料.
主要方法:
- 对100个与伊拉克和叙利亚伊斯兰国 (ISIS) 相关的非索引网页进行了比较分析.
- 该研究评估了与人类编码分类对抗三个不同的文本分析包的输出.
- 重点放在检测网页中的特定主题和概念的准确性上.
主要成果:
- 普遍存在的主题,如"圣战",被所有三个文本分析包准确地识别出来.
- 细微的概念,包括"孤独狼袭击",通常被自动化系统错过.
- 在复杂或微妙的主题的自动化和人类编码之间观察到显著的差异.
结论:
- 目前的自动化文本分析方法不足以接近人类对激进化内容的理解.
- 标准文本分析工具的天真应用不能充分捕捉极端主义信息的复杂性.
- 需要进一步的研究和开发,以加强自动化系统,可靠地检测在线激进化.
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