Author: Big Data Scoring Team

Private traits and attributes are predictable from digital records of human behavior

March 14, 2013 by Big Data Scoring Team

Three scientists from Cambridge have shown that easily accessible digital records of behavior, Facebook Likes, can be used to automatically and accurately predict a range of highly sensitive personal attributes including: sexual orientation, ethnicity, religious and political views, personality traits, intelligence, happiness, use of addictive substances, parental separation, age, and gender. See full report at here! Using […]

Facebook scorecard case study results

February 1, 2013 by Big Data Scoring Team

Big Data Scoring has finished a case study on the effects of adding Facebook data to traditional credit scoring. The case study was done with a leading consumer credit provider in Poland. We are proud to present the results: The credit score model using Facebook (FB) data is performing clearly better than the model with […]