Presentation Title
Degree Name
Master of Computer Science and Systems (MCSS)
Department
Institute of Technology
Location
UW Y Center
Start Date
21-5-2015 5:45 PM
End Date
21-5-2015 5:50 PM
Abstract
Online social media has made life easier in many ways. Stay in touch with old classmates (Facebook), find a way to connect to like-minded professionals all over the globe (LinkedIn), and even seek help from fellow humans we could never imagine otherwise to help us (Mechanical Turk)! Social network profiles are never complete. Ascertaining personality traits and accurate determination of age and gender can make such social networks safer and stronger instruments of true collaboration and human connection.
In my talk, I will discuss the predictive models we built with the Social Media group within the Center for Data Science to infer users’ missing or misrepresented attributes. I will also demonstrate how our models use a complex set of links in social networks to predict age and gender accurately. Our model uses publicly available data to find privately accurate information about a user in aid of law enforcement, communal safety and social well-being.
Who Are You? ...Honestly!
UW Y Center
Online social media has made life easier in many ways. Stay in touch with old classmates (Facebook), find a way to connect to like-minded professionals all over the globe (LinkedIn), and even seek help from fellow humans we could never imagine otherwise to help us (Mechanical Turk)! Social network profiles are never complete. Ascertaining personality traits and accurate determination of age and gender can make such social networks safer and stronger instruments of true collaboration and human connection.
In my talk, I will discuss the predictive models we built with the Social Media group within the Center for Data Science to infer users’ missing or misrepresented attributes. I will also demonstrate how our models use a complex set of links in social networks to predict age and gender accurately. Our model uses publicly available data to find privately accurate information about a user in aid of law enforcement, communal safety and social well-being.