Human-as-trust-sensor and reputation mechanism

This deliverable will consist of two phases, starting with the development of user content verification efficacy models (using a range of machine learning algorithms) which extract user activity attributes in real-time (ethically and autonomously in alignment and adherence to approaches defined in D.3). This user modelling phase will then be followed by a second phase (M14) which will integrate the initial Human-as-trust-sensor efficacy models with the EUNOMIA blockchain (D3.4) to extract historic user content verification records (e.g., performance and activity) to generate an ensemble reputation calculation mechanism. The human-as-a-trust-sensor reputation mechanism will then be embedded as an autonomous software module activated via a verification reporting function in the Digital Companion (D4.3).