Design of social games for collecting reliable semantic annotations

We present two social tagging games based on the Chain Model for object association. GiveALink Slider and Great Minds Think Alike harness human power to generate large streams of social tagging data. Such social annotations are utilized to help people organize Web resources and infer semantic relationship, which in turn can enhance Web applications such as search, recommendation, navigation, and categorization. The two games leverage several design features as well as external social media resources to create entertaining incentives for the players to tag sites and multimedia objects. Preliminary analysis of data generated by these games suggest that the proposed model can be effective for the collection of annotations that are novel, have high quality, and lead to reliable semantics.