We describe Quizz, a gamified crowdsourcing system that simultaneously
assesses the knowledge of users and acquires new knowledge from them. Quizz
operates by asking users to complete short quizzes on specific topics; as a
user answers the quiz questions, Quizz estimates the user's competence. To
acquire new knowledge, Quizz also incorporates questions for which we do not
have a known answer; the answers given by competent users provide useful
signals for selecting the correct answers for these questions. Quizz actively
tries to identify knowledgeable users on the Internet by running advertising
campaigns, effectively leveraging the targeting capabilities of existing,
publicly available, ad placement services. Quizz quantifies the contributions
of the users using information theory and sends feedback to the
advertisingsystem about each user. The feedback allows the ad targeting
mechanism to further optimize ad placement.
Our experiments, which involve over ten thousand users, confirm that we can
crowdsource knowledge curation for niche and specialized topics, as the
advertising network can automatically identify users with the desired expertise
and interest in the given topic. We present controlled experiments that examine
the effect of various incentive mechanisms, highlighting the need for having
short-term rewards as goals, which incentivize the users to contribute.
Finally, our cost-quality analysis indicates that the cost of our approach is
below that of hiring workers through paid-crowdsourcing platforms, while
offering the additional advantage of giving access to billions of potential
users all over the planet, and being able to reach users with specialized
expertise that is not typically available through existing labor marketplaces.

Quizz 是一个众包系统，利用广告投放来识别知识渊博的用户并评估其能力，借助用户回答未知问题来获取新的知识，通过控制实验并引入短期激励机制，可以在成本更低的情况下以高质量的方式收集和筛选专业话题领域的信息。