UPPER is a HorizonEurope innovation project aimed at spearheading a Public Transport revolution, to support European cities in its objective of climate-neutrality by 2030, in line with the goal of Cities Mission. The project is implementing more than 80 mobility measures in ten European cities, being eight of them included in the Cities Missions program. To achieve its main objectives, the project is performing a user research to map the citizens mobility needs and patterns. As part of the qualitative user research, this paper presents a Netnography study, performed to investigate the citizens satisfaction with different transport modes, in five cities that are part of the Living Labs’ of the UPPER project: València, Île-de-France, Rome, Oslo and Mannheim. More than fifteen thousand comments and reviews have been collected from sources like TripAdvisor, Google Reviews and Twitter, to assess six different transport modes: shared bike, bus, tram&subway, taxi, shared LEV and shared car. The comments have been analysed employing natural language algorithms, that allowed us to extract the sentiment polarity (positive, negative, neutral), and the emotions (anger, joy, sadness) including the hate level. The results are presented aggregated per transport mode for all the cities, showing differences in the way citizens perceive and are satisfied with the communal transport modes, and the individual and shared transport modes. The results also present the differences in the topics per gender.