Due to the COVID-19 pandemic, many aspects of people‘s lives have been moved to digitally supported environments. While these rapid changes have proven to be more or less useful alternatives on a technical level, their impact on individuals‘ emotions and interpersonal processes remains largely unclear. As one essential and prevalent emotional process in social interactions, Emotional Contagion (EC) comprises the mostly automatic and unconscious transmission of emotions between two or more individuals. In previous research, EC has been studied in various interactive face-to-face contexts, e.g. teachers/students or leaders/employees. In the present study, we aimed to add to these findings by examining EC in dyadic online video conferences. We applied a lab-based experimental approach involving two participants interacting with each other via synchronized computers. In a structured interaction paradigm, the participants (N=104 in n=52 dyads) were talking to each other about recent emotional experiences while being filmed by webcams. The participants retrospectively reported on their subjective emotional experiences during the interaction, and their facial expressions were analyzed using the facial expression analysis engine FACET. The results of our repeated measures analyses indicate that EC takes place in videoconferences as well. For facially expressed joy, anger, and sadness, we additionally employed cross-recurrence quantification analysis and found evidence for above chance co-occurrence of the respective facial expressions in both interaction partners. These findings point towards the existence of facial mimicry - a process that has been proposed as an underlying mechanism of EC - in dyadic social interaction via online video conference systems.