Abstract :
Social media sites underscore the Web´s transformation to a participatory medium in which users collaboratively create, evaluate, and distribute information. Innovations in social media have led to social information processing, a new paradigm for interacting with data. The social news aggregator Digg exploits social information processing for document recommendation and rating. Additionally, via mathematical modeling, it´s possible to describe how collaborative document rating emerges from the independent decisions users make. Using such a model, the author reproduces observed ratings that actual stories on Digg have received.
Keywords :
Web sites; decision making; document handling; electronic publishing; groupware; information filters; social sciences computing; Digg functionality; Web transformation; collaborative document rating; decision making; document recommendation; mathematical modeling; social information processing; social media sites; social news aggregation; Blogs; Collaboration; Filtering; Information processing; Mathematical model; Social network services; Technological innovation; Voting; Web pages; Web search; Digg; document rating; document recommendation; social media; social search; user-generated content;
