Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

Quality improvement methods are essential to gathering high-quality crowdsourced data,
both for research and industry applications. A popular and broadly applicable method is task …

Paid crowd work offers remarkable opportunities for improving productivity, social mobility,
and the global economy by engaging a geographically distributed workforce to complete …

Crowdsourcing markets provide workers with a centralized place to find paid work. What
may not be obvious at first glance is that, in addition to the work they do for pay, crowd …

Online services are increasingly dependent on user participation. Whether it's online social
networks or crowdsourcing services, understanding user behavior is important yet …

Errors and biases are earning algorithms increasingly malignant reputations in society. A
central challenge is that algorithms must bridge the gap between high-level policy and on …

When reading a scholarly article, inline citations help researchers contextualize the current
article and discover relevant prior work. However, it can be challenging to prioritize and …

The internet is empowering the rise of crowd work, gig work, and other forms of on-demand
labor. A large and growing body of scholarship has attempted to predict the socio-technical …

Accurate task pricing in microtask marketplaces requires substantial effort via trial and error,
contributing to a pattern of worker underpayment. In response, we introduce Fair Work …

We present hybrid crowd-machine learning classifiers: classification models that start with a
written description of a learning goal, use the crowd to suggest predictive features and label …