Towards a reputation model applied to geosocial networks: a case study on crowd4city

Geosocial networks gather large amounts of voluntarily generated information that can be explored among many different contexts, including urban areas. In this sense, we developed the Crowd4City system, which put together city authorities and citizens focusing on the improvement of their urban spaces. A challenge in this context is concerning the information reliability on crowdsourced data, by automatically identifying misinformation or spam from malicious users. For such, this paper proposes a reputation model to be applied to geosocial network users aiming at ensuring a better information reliability. A case study evaluates Crowd4City proposal in a real scenario. The promising results enhance information reliability in the geosocial network.