Video quick keys

Have you created a personal profile? sign in or create a profile so that you can create alerts, save clips, playlists and searches.

Length: 0:00

Studying Online Censorship Perception & Bias Using Social Media & Unsupervised Machine Learning

Video Type: Case Study

Add to list Added to list


Auto scroll

Carnegie Mellon University PhD candidate, Qinlan Shen, discusses her online censorship perception and bias research using social media and unsupervised machine learning, including what prompted the research, data collection methods, challenges faced, and research still to come.

locked icon

Sign in to access this content

Get a 30 day FREE TRIAL

  • Watch videos from a variety of sources bringing classroom topics to life
  • Read modern, diverse business cases
  • Explore hundreds of books and reference titles