humancrowd

Humancrowd is a term used to describe the collective group of people who participate in crowd-based tasks through online platforms. It refers to the aggregate human intelligence and labor mobilized to perform activities that are difficult for automated systems, or to provide data and feedback at scale.

The concept sits at the intersection of crowdsourcing and human computation. It covers microtask marketplaces, freelance labor pools, and open-call experiments in which individuals contribute time and expertise, often in exchange for compensation or rewards.

Common applications include data labeling for machine learning, image and audio transcription, content moderation, usability testing, and citizen science projects. Researchers and practitioners use humancrowd approaches to collect large-scale qualitative data, solve problems, and incorporate diverse perspectives into systems and studies.

Advantages include scalability, speed, and access to a wide range of skills. Challenges involve ensuring quality and reliability, fair compensation and labor rights, privacy protection, and biases that can arise from the composition of the crowd or the tasks themselves.

See also: crowdsourcing, human computation, crowd work.