Machine Detects Depression From Instagram Photos

A picture may be worth a thousand words, but with machine learning it’s also worth one useful diagnosis. A new algorithm tested with volunteer Instagram users accurately detected depression markers 70 percent of the time, reports Technology Review. This is one heck of a filter. RELATED: Putting the Art in Artificial Intelligence: Photos The eagle-eyed algorithm was created by University of Vermont associate professor Chris Danforth and Harvard University doctoral candidate Andrew Reece. It works using color analysis, metadata components and face detection, according to their paper published on ArXiv. In order to test the algorithm, the researchers used the Amazon Mechanical Turk crowdsourcing marketplace platform to recruit volunteers. They narrowed the group down to 166 participants who were active on Instagram, screened them for depression, and asked them to…


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