Creativity on Paid Crowdsourcing Platforms
Authors
Crowdsourcing platforms are increasingly being harnessed for creative work. The platforms' potential for creative work is clearly identified, but the workers' perspectives on such work have not been extensively documented. In this paper, we uncover what the workers have to say about creative work on paid crowdsourcing platforms. Through a quantitative and qualitative analysis of a questionnaire launched on two different crowdsourcing platforms, our results revealed clear differences between the workers on the platforms in both preferences and prior experience with creative work. We identify common pitfalls with creative work on crowdsourcing platforms, provide recommendations for requesters of creative work, and discuss the meaning of our findings within the broader scope of creativity-oriented research. To the best of our knowledge, we contribute the first extensive worker-oriented study of creative work on paid crowdsourcing platforms.
Research Questions / Practical Problems
Question signals indexed for this paper.
- 75%
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CHI '22· Crowdsourcing Task Design & Quality Control +1
- 67%
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CHI '18· Crowdsourcing Task Design & Quality Control
- 67%
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CHI '19· Crowdsourcing Task Design & Quality Control
- 67%
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CHI '19· Crowdsourcing Task Design & Quality Control
- 67%
Two Tools are Better Than One: Tool Diversity as a Means of Improving Aggregate Crowd Performance
IUI '18· Crowdsourcing Task Design & Quality Control
- 60%
Casual Microtasking: Embedding Microtasks in Facebook
CHI '19· Crowdsourcing Task Design & Quality Control +2
- 60%
Monotasking or Multitasking: Designing for Crowdworkers' Preferences
CHI '19· Crowdsourcing Task Design & Quality Control +2
- 60%
Spatial Labeling: Leveraging Spatial Layout for Improving Label Quality in Non-Expert Image Annotation
CHI '21· Interactive Data Visualization +1
- 60%
Interpretable Directed Diversity: Leveraging Model Explanations for Iterative Crowd Ideation
CHI '22· Generative AI (Text, Image, Music, Video) +2
- 60%
Improving Data Quality via Pre-Task Participant Screening in Crowdsourced GUI Experiments
CHI '26· Crowdsourcing Task Design & Quality Control +2
Based on Jaccard similarity of research subtopics & professions (≥60%)