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Shawn Ogunseye, PhD
Digital Transformation | Intelligence Augmentation | Applied AI
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Tag: Crowdsourcing

Publications

Crowdsourcing for Repurposable Data: What We Lose When We Train Our Crowds

Posted on July 22, 2020 by Shawn Ogunseye

Publications

Designing for Information Quality in the Era of Repurposable Crowdsourced User-Generated Content

Posted on July 15, 2020 by Shawn Ogunseye

Conventional wisdom holds that expert contributors provide higher quality user-generated content (UGC) than novices. Using the cognitive construct of selective ...

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

Conventional wisdom dictates that the quality of data collected in a crowdsourcing project is positively related to how knowledgeable the contributors are. Cons...

Publications

Do Crowds Go Stale? Exploring the Effects of Crowd Reuse on Data Diversity

Posted on January 23, 2020 by Shawn Ogunseye

Crowdsourcing is increasingly used to engage people to contribute data for a variety of purposes to support decision-making and analysis. A common assumption in...

Publications

Can Expertise Impair the Quality of Crowdsourced Data?

Posted on July 1, 2019 by Shawn Ogunseye

It is not uncommon for projects that collect crowdsourced data to be commissioned with incomplete knowledge of data contributors, data consumers, and/or the pur...

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
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