Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Data-Driven Analysis of Workers' Earnings on Amazon Mechanical Turk   A growing number of people are working as part of on-line crowd work, which
has been characterized by its low wages; yet, we know little about wage
distribution and causes of low/high earnings. We recorded 2,676 workers
performing 3.8 million tasks on Amazon Mechanical Turk. Our task-level analysis
revealed that workers earned a median hourly wage of only ~\$2/h, and only 4%
earned more than \$7.25/h. The average requester pays more than \$11/h,
although lower-paying requesters post much more work. Our wage calculations are
influenced by how unpaid work is included in our wage calculations, e.g., time
spent searching for tasks, working on tasks that are rejected, and working on
tasks that are ultimately not submitted. We further explore the characteristics
of tasks and working patterns that yield higher hourly wages. Our analysis
informs future platform design and worker tools to create a more positive
future for crowd work.

37
The categories of this paper are: supr-con
20
The categories of this paper are: acc-phys
3
The categories of this paper are: physics
19
The categories of this paper are: eess
21
The categories of this paper are: adap-org
2
The categories of this paper are: math
36
The categories of this paper are: cmp-lg
27
The categories of this paper are: comp-gas
32
The categories of this paper are: atom-ph
29
The categories of this paper are: funct-an
18
The categories of this paper are: econ
8
The categories of this paper are: hep-ex
31
The categories of this paper are: ao-sci
5
The categories of this paper are: gr-qc
0
The categories of this paper are: hep-ph
24
The categories of this paper are: dg-ga