Tuesday, 25 February 2014

Racism In Vintage Ads




The Shadows Are All Wrong: 'Photoshopped' Algorithm



Researchers at Dartmouth College have developed a metric to apply to altered images to address how much Photoshopping a picture has undergone, in an effort to provide more truth in advertising and prevent unhealthy body image issues.
Farid and Eric Kee, a Ph.D student in computer science at Dartmouth, published their research this week in the journal National Academy of Sciences.
The tool would work on a rating scale of one to five. Farid and Kee created a base metric by analyzing and statistically measuring results from various before-and-after photos. They then correlated these findings with a study group that was asked to rank the amount of photo alteration on a scale of one (very similar) to five (very different). This numbered metric could then be algorithmically applied to photos of, say, celebrities and models to reveal just how much photo-manipulation took place.

Replacing Celebrities With Those in Need


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What if we cared about those living in poverty as much as we care about celebrities?
Woodgreen is a Toronto organization that helps all kinds of people find their potential. One of its programs is Homeward Bound, which helps struggling single mothers earn a college degree and start careers. A new ad campaign for Homeward Bound imagines tabloid magazine covers that focus not on celebrities, but mothers who are having a hard time. The women in the ad are students or graduates of Woodgreen's program, but they may well represent the women in line with you at the grocery store. There's also a video of a celebrity gossip-type TV show with the same message, which you can see at the Homeward Bound page. -via Buzzfeed