  Consider an application sold on an on-line platform, with the app paying a
commission fee and, henceforth, offered for sale on the platform. The ability
to sell the application depends on its customer ranking. Therefore, developers
may have an incentive to promote their applications ranking in a dishonest
manner. One way to do this is by faking positive customer reviews. However, the
platform is able to detect dishonest behavior (cheating) with some probability
and then proceeds to decide whether to ban the application. We provide an
analysis and find the equilibrium behaviors of both the applications developers
(cheat or not) and the platform (setting of the commission fee). We provide
initial insights into how the platforms detection accuracy affects the
incentives of the app developers.
