Group items tagged

Red Bee Media has created a personalised Facebook app to drive viewers to season two of The Walking Dead on FOX. The app, aimed at the Facebook fans of the show, as well as family and friends, focusses on a POV film. The film looks at what it is like to be 'left behind' by the walking dead, and uses Facebook Connect and users' webcams to create a personalised experience.  The app goes live early this month.

We show 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. The analysis presented is based on a dataset of over 58,000 volunteers who provided their Facebook Likes, detailed demographic profiles, and the results of several psychometric tests. The proposed model uses dimensionality reduction for preprocessing the Likes data, which are then entered into logistic/linear regression to predict individual psychodemographic profiles from Likes. The model correctly discriminates between homosexual and heterosexual men in 88% of cases, African Americans and Caucasian Americans in 95% of cases, and between Democrat and Republican in 85% of cases. For the personality trait "Openness," prediction accuracy is close to the test-retest accuracy of a standard personality test. We give examples of associations between attributes and Likes and discuss implications for online personalization and privacy.

The specificity of Facebook's advertising machine lets companies sidestep many potential pitfalls that could prevent them from launching a successful ad campaign. For Universal Pictures, one of the problems Facebook helped them sidestep was the fact that white Americans didn't really know what iconic rap group N.W.A. was, or that Ice Cube and Dr. Dre made music.

Personality profiles from facebook likes

Highlights of your timeline over the last 6 years

We show 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.

@interchangeling: Remember when Intel turned your life into a museum exhibition using Facebook data? You will, with #PerceptiveMedia http://t.co/6EoOcBCy http://twitter.com/interchangeling/status/167428765067116544

A museum based all around me

Review video for Take this lollipop