Whichbook enables millions of combinations of factors and then suggests books which most closely match your needs. Click to open up to 4 sliders and move the to set your choices.
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.
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Millionth Tower is loaded with photos and information
from all over the web, and exists in an online environment that is
about as close to three-dimensional as something on a flat screen
can get.
It exists
in a 3D setting made possible by a tool called three.js, which lets
viewers walk around the high-rise neighborhood. Moving through
allows viewers to see the current state of urban decay, then
activate elements to show ways the residents would change their
world, like an animation showing where a new playground or garden
would go.
The interactive movie is chock-full of photos from
Flickr, street-views from
Google Maps and changing environments fueled by real-time
weather data from Yahoo. Everything is triggered by Popcorn.js, which acts
like a conductor signaling which instruments play at what
times