Abstract: Listening rules and/or filter rules are generated or modified for use by a social analysis tool to capture and/or filter social mentions from social networking services for moderation purposes. The text and metadata of social mentions that have previously been moderated may be analyzed to identify common text and/or common metadata amongst those social mentions. The new listening and/or filter rules may be generated by selecting criteria for the rules based on the identified common text and/or common metadata. The new listening rules and/or filter rules may then be applied to capture and/or filter new social data.

Abstract: Listening rules and/or filter rules are generated or modified for use by a social analysis tool to capture and/or filter social mentions from social networking services for moderation purposes. The text and metadata of social mentions that have previously been moderated may be analyzed to identify common text and/or common metadata amongst those social mentions. The new listening and/or filter rules may be generated by selecting criteria for the rules based on the identified common text and/or common metadata. The new listening rules and/or filter rules may then be applied to capture and/or filter new social data.

Abstract: Systems and methods for are provided for automatically applying a tracking code to content items accessible via a social media service. In one embodiment, a method is executed by a processor. The processor generates a tracking code identifying a marketing campaign. The processor publishes the content item via the social media service with a link to an electronic content source and the tracking code. The processor generates analytics based on the tracking code. The analytics track multiple interactions with the electronic content source originating from the link to the electronic content source included with the content item as published via the social media service.