Temporal window size shapes detection of online coordinated actions
Setting the clock: Evaluating temporal window parameters for coordinated behavior detection
Social and Information Networks
Summary
Detecting when people work together online often depends on looking at actions they do within certain time frames. This paper studied how the length of these time frames affects finding groups that coordinate, such as in disinformation campaigns. The researchers found that the duration of the time window is important for spotting different coordination patterns, while how often the window moves forward matters less. Their work points out that choosing the right time window is a key challenge for detecting coordinated behavior reliably.
What this means in practice
- •For social media moderation teams: Improve detection methods by tuning time windows to better identify coordinated disinformation campaigns on platforms.
- •For cybersecurity analysts: Refine temporal parameters to identify coordinated online information operations more accurately during threat assessments.
Authors
Georgios Panayiotou, Lorenzo Mannocci, Maurizio Tesconi
Abstract
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.