The Good, The Bad and the Ugly: Why Crowdsourcing Needs Ethics

By Florian Alexander Schmidt. 2013

37 citations recorded by the source corpus.

Subfields: Computer Science Applications, Management Science and Operations Research, AI Ethics, Fairness & Society, Human-Computer Interaction

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Science Applications

1. Kim Bartel Sheehan
2. T. Araujo
3. Hyosun Kim

In Management Science and Operations Research

1. Elizabeth Clark
2. Thibault Sellam
3. Kim Bartel Sheehan
4. Sebastian Gehrmann

In AI Ethics, Fairness & Society

1. Kim Bartel Sheehan
2. Sebastian Gehrmann

In Human-Computer Interaction

1. Elizabeth Clark
2. Kim Bartel Sheehan
3. Sebastian Gehrmann

Citations in the corpus

• Repairing the Cracked Foundation: A Survey of Obstacles in Evaluation Practices for Generated Text (2022, background): “Schoch et al. (2020) discuss the role cognitive biases can play in the way”
• Crowdsourcing research: Data collection with Amazon’s Mechanical Turk (2018, background): “Workers have few legal protections “ as the cyberspace in which they work remains essentially unregulated for employment and labor law purposes ” (Schmidt, 2013, p. 532).”