Stance and Credibility Based Trust in Social-Sensor Cloud Services.

We propose a users’ stance and credibility based social-sensor cloud service trust model. We represent social media data streams, i.e., image meta-data and related posted information, as social-sensor cloud services. We use the textual features of the social-sensor cloud services, i.e., comments, and meta-data, e.g., spatio-temporal information, to gather the trust-rate of the services and the credibility of users’ comments. The analytical results present the performance of the proposed model.