A Reputation Score Proposal for Online Video Platforms.

Boosting the engagement of users and content creators is of critical importance for online video platforms. The success of an online platform can be defined by the number of active users and the amount of time they spend on it, as they will probably take the best advantage of all the available functionalities and spread the word about it. The goal of this research is to propose effective algorithms to create a reputation system capable of generating trust among users and increasing engagement. The algorithm rewards users and content creators for their actions, in addition to motivating them through considerable increases in their reputation during their initial iterations with the platform. The growth is modelled by three basic reputation functions: exponential, logarithmic and lineal mappings. The Noixion TV platform has been used to develop the use case and its data has been gathered to analyse the behaviour of the proposed system.