Abstract: An online system allows third-party systems to provide content for distribution to users. The online system allows trademark owners to search for content items that are likely to violate trademarks. The online system receives proof of the trademark registration from trademark owner's devices. The online system receives a search request for content items that are likely to violate a trademark. The online system ranks the content items that are likely to violate the input trademark based on various factors. One of the factors used for ranking the content items is a score generated by a machine learning based model that indicates a likelihood of violation of trademarks by a content item. The online system controls the rate of distribution of content items of a content provider based on information indicating whether the content provider violates trademarks, for example, by blocking distribution of content items by specific content providers.

Abstract: An online system allows third-party systems to provide content for distribution to users. The online system allows trademark owners to search for content items that are likely to violate trademarks. The online system receives proof of the trademark registration from trademark owner's devices. The online system receives a search request for content items that are likely to violate a trademark. The online system ranks the content items that are likely to violate the input trademark based on various factors. One of the factors used for ranking the content items is a score generated by a machine learning based model that indicates a likelihood of violation of trademarks by a content item. The online system controls the rate of distribution of content items of a content provider based on information indicating whether the content provider violates trademarks, for example, by blocking distribution of content items by specific content providers.