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This paper presents Klout Topics, a lightweight ontology to describe socialmedia users' topics of interest and expertise. Klout Topics is designed to: behuman-readable and consumer-friendly; cover multiple domains of knowledge indepth; and promote data extensibility via knowledge base entities. We discusswhy this ontology is well-suited for text labeling and interest modelingapplications, and how it compares to available alternatives. We show itscoverage against common social media interest sets, and examples of how it isused to model the interests of over 780M social media users on Klout.com.Finally, we open the ontology for external use.

Klout Topics for Modeling Interests and Expertise of Users Across Social Networks