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 …

The past years have witnessed great progress on remote sensing (RS) image interpretation
and its wide applications. With RS images becoming more accessible than ever before …

Compared to older kinds of sample surveys, online platforms provide a fast and low-cost
platform for factorial surveys, as well as a more demographically diverse alternative to …

Despite recent concerns about data quality, various academic fields rely increasingly on
crowdsourced samples. Thus, the goal of this study was to systematically assess …

Crowdsourcing is increasingly being used as a means to tackle problems requiring human
intelligence. With the ever-growing worker base that aims to complete microtasks on …

Crowdsourcing has become a popular paradigm in data curation, annotation and evaluation
for many artificial intelligence and information retrieval applications. Considerable efforts …

As the volumes of AI problems involving, human knowledge are likely to soar,
crowdsourcing has become essential in a wide range of world-wide-web applications. One …

The increased use of machine learning in recent years led to large volumes of data being
manually labeled via crowdsourcing microtasks completed by humans. This brought about …

Since Jeff Howe introduced the term Crowdsourcing in 2006, this human-powered problem-
solving paradigm has gained a lot of attention and has been a hot research topic in the field …