The project is at the centre of a thesis on the platform economy and digital work, with case studies in the hail riding sector. The research project aims to create an agentivity indicator and to measure the agentivity of VTC drivers in their relationship with platform-type digital devices. To do so, we collected data from a forum of VTC drivers and processed this data using automatic natural language processing methods. The method used combines deep learning (camemBERT) and contextual training (fine tuning) after a classification exercise.