Skip to content
Shawn Ogunseye, PhD
Digital Transformation | Intelligence Augmentation | Applied AI
  • About
  • Projects & Systems Developed
  • Teaching
  • Research
  • Awards & Grants
  • Presentations
  • Contact
Publications

What Makes a Good Crowd? Rethinking the Relationship between Recruitment Strategies and Data Quality in Crowdsourcing

Posted on June 23, 2020 by Shawn Ogunseye
View Fullscreen
Citizen Science, Crowdsourcing, Data Quality, Information Quality
Shawn Ogunseye
View all posts by Shawn Ogunseye →

Post navigation

Older post
Do Crowds Go Stale? Exploring the Effects of Crowd Reuse on Data Diversity
Newer post
Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content

Recent Posts

  • Five Types of Leaders AI Needs (And Why Companies Keep Missing It)
  • Stop Training Your Competitor’s AI
  • They Can Include AI, But Should They?
  • An exploratory study of the critical factors affecting the acceptability of e-learning in Nigerian universities
  • Crowdsourcing for Repurposable Data: What We Lose When We Train Our Crowds

Tags

AI governance AI team structure Citizen Science Crowdsourcing Data Crowdsourcing Data Quality Information Diversity Information Quality Repurposability Technology leadership Trustworthy AI
© 2025 Shawn Ogunseye, PhD
Powered by WordPress | Theme: Graphy by Themegraphy