论文标题
2019年英国大选社交媒体上的协调行为
Coordinated Behavior on Social Media in 2019 UK General Election
论文作者
论文摘要
协调的在线行为是信息和影响操作的重要组成部分，因为它们允许更有效的虚假信息传播。关于协调行为的大多数研究都涉及手动调查，而现有的计算方法却是大胆的假设或过度简化问题以使其可解决的问题。在这里，我们提出了一个新的基于网络的框架，用于在社交媒体上发现和研究协调的行为。我们的研究扩展了现有系统，而不仅仅是限制了协调和不协调行为的二元分类。它允许揭示不同的协调模式，并估计特征不同社区的协调程度。我们将我们的框架应用于2019年英国大选期间收集的数据集，并检测和表征参加选举辩论的协调社区。我们的工作传达了理论和实际含义，并为研究在线信息操纵提供了更细微和细粒度的结果。
Coordinated online behaviors are an essential part of information and influence operations, as they allow a more effective disinformation's spread. Most studies on coordinated behaviors involved manual investigations, and the few existing computational approaches make bold assumptions or oversimplify the problem to make it tractable. Here, we propose a new network-based framework for uncovering and studying coordinated behaviors on social media. Our research extends existing systems and goes beyond limiting binary classifications of coordinated and uncoordinated behaviors. It allows to expose different coordination patterns and to estimate the degree of coordination that characterizes diverse communities. We apply our framework to a dataset collected during the 2019 UK General Election, detecting and characterizing coordinated communities that participated in the electoral debate. Our work conveys both theoretical and practical implications and provides more nuanced and fine-grained results for studying online information manipulation.
