Too Long; Didn't Read
You may have heard about the Harvard study wherein researchers “<a href="https://www.technologyreview.com/s/602208/how-an-algorithm-learned-to-identify-depressed-individuals-by-studying-their-instagram/" target="_blank">trained a machine to spot depression on Instagram</a>.” The paper’s subject is perfectly weaponized to make the media rounds, combining data, AI, health, a popular social network, and an enticing question to encourage clicks (<em>what filter means you’re depressed?</em>). <a href="https://www.technologyreview.com/s/602208/how-an-algorithm-learned-to-identify-depressed-individuals-by-studying-their-instagram/" target="_blank">MIT Technology Review</a>, <a href="http://www.wired.co.uk/article/ai-instagram-diagnose-depression" target="_blank">Wired</a>, <a href="http://thenextweb.com/insider/2016/08/19/a-new-algorithm-can-identify-depressed-individuals-by-their-instagram-photos/?utm_content=buffer4f21c&utm_medium=social&utm_source=twitter.com&utm_campaign=buffer" target="_blank">The Next Web</a>, <a href="http://www.independent.co.uk/news/world/americas/instagram-filters-depression-link-mental-health-research-a7205601.html" target="_blank">The Independent</a>, and others all hit post. The story has been lighting up Twitter for nearly a week now.