Truthful Team Formation for Crowdsourcing in Social Networks

We study complex task crowdsourcing by team formation in social networks (SNs), where the requester wishes to hire a group of socially close workers that can work together as a team. The workers are selfish that can manipulate the crowdsourcing system by providing unreal private information, which will discourage other workers from participation and is unprofitable for the requester. This paper develops two efficient truthful mechanisms for the small- and large-scale social team crowdsourcing applications, to guarantee each worker's profit is optimized by behaving truthfully.