from reputation to network value
It is generally admitted that reputation management, as it is implemented in most digital platforms, does not work well: from the infamous 5-star model to the NPS approach, they all create frustration for platform contributors. These basic techniques are not fair, not robust (prone to fraud and manipulation), not transparent and eventually simply determine who collected the most rewards. Moreover, since members don’t own their reputation data, it is not portable from one platform to another, and it increases users lock-in.
On the platform side, current techniques prevent knowing who actively contributes and creates real added value. Knowing this is key, since it is vital to identify these users, and support them to increase the platform’s adoption and overall success. Rewarding stakeholders based on their contribution eventually allows to create new investment and ownership models, where contributors and customers of the platform have the opportunity to own a share of the value they create.
A new approach is required, that recognizes that platform members can have many different roles (e.g. on a news platform, they could create content, but also edit content, review content or curate content) and that contribution must be measured for each of these roles.
What we propose is a simple API that can be called from platforms, allowing them register interactions between members as they occur. Our reputation algorithms weights these interactions and calculates the reputation of each stakeholder in the network, we call this Network Value. In order to avoid data concentration and to allow members to be in control of their own reputation, we offer to store calculated values on the public blockchain.