Labeling images with a computer game
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Finding similar questions in large question and answer archives
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Expertise networks in online communities: structure and algorithms
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Hits on question answer portals: exploration of link analysis for author ranking
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
Discovering authorities in question answer communities by using link analysis
Proceedings of the sixteenth ACM conference on Conference on information and knowledge management
Finding high-quality content in social media
WSDM '08 Proceedings of the 2008 International Conference on Web Search and Data Mining
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Designing games with a purpose
Communications of the ACM - Designing games with a purpose
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Strong regularities in online peer production
Proceedings of the 9th ACM conference on Electronic commerce
Predicting information seeker satisfaction in community question answering
Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval
Facts or friends?: distinguishing informational and conversational questions in social Q&A sites
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
mimir: a market-based real-time question and answer service
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
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Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
PhotoSlap: a multi-player online game for semantic annotation
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
The role of game theory in human computation systems
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A crowdsourceable QoE evaluation framework for multimedia content
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Incentivizing high-quality user-generated content
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Causal discovery in social media using quasi-experimental designs
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A game-theoretic analysis of rank-order mechanisms for user-generated content
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Game-theoretic models of web credibility
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Implementing optimal outcomes in social computing: a game-theoretic approach
Proceedings of the 21st international conference on World Wide Web
Efficient crowdsourcing contests
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A game-theoretic model of attention in social networks
WAW'12 Proceedings of the 9th international conference on Algorithms and Models for the Web Graph
A game-theoretic analysis of the ESP game
ACM Transactions on Economics and Computation - Inaugural Issue
Learning and incentives in user-generated content: multi-armed bandits with endogenous arms
Proceedings of the 4th conference on Innovations in Theoretical Computer Science
Online silk road: nurturing social search through knowledge bartering
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Incentives, gamification, and game theory: an economic approach to badge design
Proceedings of the fourteenth ACM conference on Electronic commerce
Incentivizing participation in online forums for education
Proceedings of the fourteenth ACM conference on Electronic commerce
Linked data in crowdsourcing purposive social network
Proceedings of the 22nd international conference on World Wide Web companion
Pricing mechanisms for crowdsourcing markets
Proceedings of the 22nd international conference on World Wide Web
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In this paper, we provide a simple game-theoretic model of an online question and answer forum. We focus on factual questions in which user responses aggregate while a question remains open. Each user has a unique piece of information and can decide when to report this information. The asker prefers to receive information sooner rather than later, and will stop the process when satisfied with the cumulative value of the posted information. We consider two distinct cases: a complements case, in which each successive piece of information is worth more to the asker than the previous one; and a substitutes case, in which each successive piece of information is worth less than the previous one. A best-answer scoring rule is adopted to model Yahoo! Answers, and is effective for substitutes information, where it isolates an equilibrium in which all users respond in the first round. But we find that this rule is ineffective for complements information, isolating instead an equilibrium in which all users respond in the final round. In addressing this, we demonstrate that an approval-voting scoring rule and a proportional-share scoring rule can enable the most efficient equilibrium with complements information, under certain conditions, by providing incentives for early responders as well as the user who submits the final answer.