Guess Who? Enriching the Social Graph through a Crowdsourcing Game
Published at
ACM Conference on Human Factors in Computing Systems
| Vancouver, Canada
2011
Abstract
Despite the tremendous popularity of social network sites both on the web and
within enterprises, the relationship information they contain may be often
incomplete or outdated. We suggest a novel crowdsourcing approach that uses a
game to help enrich and expand the social network topology. The game prompts
players to provide the names of people who have a relationship with individuals
they know. The game was deployed for a one-month period within a large global
organization. We provide an analysis of the data collected through this
deployment, in comparison with the data from the organization's social network
site. Our results indicate that the game rapidly collects large volumes of valid
information that can be used to enrich and reinforce an existing social network
site's data. We point out other aspects and benefits of using a crowdsourcing
game to harvest social network information.