设定时钟：评估协调行为检测的时间窗口参数
Setting the clock: Evaluating temporal window parameters for coordinated behavior detection
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中文总结 AI 辅助
本文分析时间窗口长度和步长对协调行为检测的影响，发现窗口长度决定可检测模式，步长影响甚微，并指出参数选择是方法论挑战。
中文摘要 AI 辅助
协调行为是在线集体行动的核心机制。在社交媒体平台上，它可以支持合法的动员，但也可能被利用于虚假信息活动、草根营销（astroturfing）和信息操作中。检测社交媒体平台上的协调行为通常依赖于协调网络，其中当用户在共享的时间窗口内执行相似动作时，他们之间会建立连接。虽然时间窗口是协调行为操作化的核心，但它往往被视为实现细节而非实质性建模决策。本文首次分析了两个关键时间参数——窗口长度和步长——如何影响信息操作活动中协调社区的检测。我们发现，窗口长度决定了哪些协调模式可被检测到，而窗口步长对精确率和召回率的影响可忽略不计。我们的分析强调，选择适当的时间窗口参数是一个开放的方法论挑战，需要谨慎处理。
英文摘要
Coordinated behavior is a central mechanism of online collective action. On social media platforms, it can support legitimate mobilization, but it can also be exploited in disinformation campaigns, astroturfing, and information operations. Detecting coordinated behavior on social media platforms typically relies on coordination networks, where users are linked when they perform similar actions within shared temporal windows. While the temporal window is central to how coordination is operationalized, it is often treated as an implementation detail rather than as a substantive modeling decision. This paper presents a first analysis of how two key temporal parameters, window length and stride, affect the detection of coordinated communities within information operation campaigns. We find that window length determines which coordination patterns are detectable, while window stride has negligible effect on precision and recall. Our analysis highlights selecting appropriate temporal window parameters as an open methodological challenge requiring careful treatment.
发表机构
- Uppsala University（乌普萨拉大学）
- University of Pisa（比萨大学）
- IIT-CNR（意大利国家研究委员会意大利理工学院）
机构由 AI 辅助整理，请以论文原文为准。
