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.

Abstract: Exemplary methods, apparatuses, and systems receive a gift giving event characteristic. A first set of one or more gift giving events within a first period of time that meet the received gift giving event characteristic are identified. Each of the gift giving events result in a narrative being published to a social network and are viewable by a group of one or more users of the social network. A second set of one or more gift giving events within a second period of time are identified. The second period of time is subsequent to the first period time. The second set of gift giving events are initiated by the group of one or more users. An amount of influence of a first user that initiated a gift giving event in the first set of gift giving events is determined based upon the second set of gift giving events.

Abstract: Exemplary methods, apparatuses, and systems receive a gift giving event characteristic. A first set of one or more gift giving events within a first period of time that meet the received gift giving event characteristic are identified. Each of the gift giving events result in a narrative being published to a social network and are viewable by a group of one or more users of the social network. A second set of one or more gift giving events within a second period of time are identified. The second period of time is subsequent to the first period time. The second set of gift giving events are initiated by the group of one or more users. An amount of influence of a first user that initiated a gift giving event in the first set of gift giving events is determined based upon the second set of gift giving events.