Studying online censorship perception & bias using social media & unsupervised machine learning.

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.

Bibliographic Details

Format:	Video
Language:	English
Language Notes:	Closed-captions in English.
Published:	London : SAGE Publications Ltd, 2019.
Subjects:	Social media > Censorship. Mass media > Censorship. Machine learning. Quantitative research. Médias sociaux > Censure. Médias > Censure. Apprentissage automatique. Recherche quantitative. Machine learning Mass media > Censorship Quantitative research
Online Access:	Connect to this streaming video