How Twitter Language Reveals Your Gender

External News Details

Simply by looking at these different rates of word usage, Schnoebelen and his colleagues, David Bamman of Carnegie Mellon University and Jacob Eisenstein (Interactive Comp) of Georgia Tech, can predict the gender of an author on Twitter with 88 percent accuracy. Source: The Boston Globe

 

Additional Information

Groups

College of Computing, School of Interactive Computing

Categories
Computer Science/Information Technology and Security, Digital Media and Entertainment
Keywords
Jacob Eisenstein; gender; Twitter; social media; language; linguistics
Status
  • Created By: Michaelanne Dye
  • Workflow Status: Published
  • Created On: Nov 6, 2012 - 10:19am
  • Last Updated: Oct 7, 2016 - 10:26pm