Computer
Games with a Purpose for the Semantic Web
IEEE Intelligent Systems
Games with a purpose for social networking platforms
Proceedings of the 20th ACM conference on Hypertext and hypermedia
Community-based game design: experiments on social games for commonsense data collection
Proceedings of the ACM SIGKDD Workshop on Human Computation
Online word games for semantic data collection
EMNLP '08 Proceedings of the Conference on Empirical Methods in Natural Language Processing
Refining non-taxonomic relation labels with external structured data to support ontology learning
Data & Knowledge Engineering
From Conservation to Crowdsourcing: A Typology of Citizen Science
HICSS '11 Proceedings of the 2011 44th Hawaii International Conference on System Sciences
Betterrelations: using a game to rate linked data triples
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
RISQ! Renowned Individuals Semantic Quiz: a Jeopardy like quiz game for ranking facts
Proceedings of the 7th International Conference on Semantic Systems
Games with a Purpose or Mechanised Labour?: A Comparative Study
Proceedings of the 13th International Conference on Knowledge Management and Knowledge Technologies
Proceedings of the 12th Brazilian Symposium on Human Factors in Computing Systems
Crowdsourced Knowledge Acquisition: Towards Hybrid-Genre Workflows
International Journal on Semantic Web & Information Systems
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With more than 800 million monthly active users, Facebook bears significant potential for science projects. Climate Quiz is an interactive Web application in the tradition of "games with a purpose" that leverages this potential to create metadata through a crowdsourcing-based approach. It presents participants with two types of challenges: (1) selecting the correct relation to connect two environmental concepts, and (2) answering climate-related multiple choice questions. Climate Quiz aims to create shared meaning through collaborative ontology building, a process that captures emergent semantics and elicits formal knowledge in the form of a domain model. As an innovative survey instrument, the application leverages social networking platforms to capture indicators of environmental attitudes, lifestyles and behaviors.