Related Experiment Video
Updated: Feb 12, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community
Published on: May 31, 2019
Ethical Issues in Corpus Linguistics And Annotation: Pay Per Hit Does Not Affect Effective Hourly Rate For Linguistic
K Bretonnel Cohen1, Karën Fort2, Gilles Adda3
1Biomedical Text Mining Group, Computational Bioscience Program, U. Colorado School of Medicine.
Abstract:
Ethical issues reported with paid crowdsourcing include unfairly low wages. It is assumed that such issues are under the control of the task requester. Can one control the amount that a worker earns by controlling the amount that one pays? 412 linguistic data development tasks were submitted to Amazon Mechanical Turk. The pay per HIT was manipulated through a range of values. We examined the relationship between the pay that is offered per HIT and the effective pay rate. There is no such relationship. Paying more per HIT does not cause workers to earn more: the higher the pay per HIT, the more time workers spend on them (R = 0.92). So, the effective hourly rate stays roughly the same. The finding has clear implications for language resource builders who want to behave ethically: other means must be found in order to compensate workers fairly. The findings of this paper should not be taken as an endorsement of unfairly low pay rates for crowdsourcing workers. Rather, the intention is to point out that additional measures, such as pre-calculating and communicating to the workers an average hourly, rather than per-task, rate must be found in order to ensure an ethical rate of pay.
Related Concept Videos
Ethical Issues
Ethical Concerns in Healthcare:
Ethics in Research
Glycolysis: Pay-off Phase
Step 1 - 5: Glycolysis Preparatory Phase
The first phase of glycolysis has 5 steps where the glucose is...
Sustainable Development
Genome Annotation and Assembly
Role of Affect in Interpersonal Attraction

