A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk
Offered By: Association for Computing Machinery (ACM) via YouTube
Course Description
Overview
Explore a comprehensive data-driven analysis of workers' earnings on Amazon Mechanical Turk in this 21-minute conference talk from the ACM CHI Conference on Human Factors in Computing Systems. Delve into the findings of a study that recorded 2,676 workers performing 3.8 million tasks, revealing a median hourly wage of only ~$2/h, with just 4% earning above $7.25/h. Examine the disparity between average requester pay rates and actual worker earnings, and understand the impact of unpaid work such as task searching and rejected submissions. Gain insights into task characteristics and working patterns that lead to higher hourly wages, and consider the implications for platform design and worker tools to improve the future of crowd work.
Syllabus
A Data-Driven Analysis of Workers’ Earnings on Amazon Mechanical Turk
Taught by
ACM SIGCHI
Related Courses
80043368 - Strategies to Improve Human Papillomavirus (HPV) Vaccination Rates Among College StudentsJohns Hopkins University via Independent MBA Core Curriculum
University System of Maryland via edX A Beginner’s Guide to Data Analytics
Boxplay via FutureLearn A Beginner’s Guide to Data Handling and Management in Excel
Packt via FutureLearn A Day in the Life of a Data Engineer (Korean)
Amazon Web Services via AWS Skill Builder