Reputation Systems -- Fair allocation of points to the editors in the collaborative community
This addresses fair reward allocation for editors in collaborative platforms, but it is incremental as it builds on existing reputation system concepts without introducing a new paradigm.
The paper tackles the problem of fairly allocating points to contributors in collaborative communities by analyzing improvements across article versions, proposing an algorithm with a theoretical proof to address issues like distinguishing major content changes from minor edits.
In this paper we are trying to determine a scheme for the fair allocation of points to the contributors of the collaborative community. The major problem of fair allocation of points among the contributors is that we have to analyze the improvement in the versions of an article. Lets say there is a contribution of major change in content which is relevant vs the contribution of adding a single comma. Every contributor cannot be given the same points in such a case. There are many ways which can be used like number of changes in a new version. That might seem relevant but it becomes irrelevant in terms of correct content contribution and other significant changes. There is no AI system too which can detect such a change and award the points accordingly. So this problem of allocation of points to the contributors is presented by an algorithm with a theoretical proof. It relies on the interactive interaction of the users in the system which is trivial in case of big system design economies.