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Your Instagram Posts May Offer Warning Signs of Depression. From addiction to anxiety to bullying, technology and social media get a bad rap at times for their negative impact on mental health, but those same tools can also be wielded to help those in need. The next time youre asked to lead a meeting, teach a class, or give a speech, heres one way to get everyones attention look at individual people instead of. Dva defence media on the record ministerial the australian smh the age cm abc army 500,000 grant to help find hmas ae1 13 nov 17 11 nov 17. Install Sql Express On Linux here. Large scale intervention programs such as the Crisis Text Line are on the rise. CTL not only allows trained counselors to support people in crisis 2. Im very bad at processing my feelings alone. If I dont want to spiral into anxiety, I need toRead more Read. Smaller scale research is also on the rise with Instagram being the latest service to capture a picture of whats going on with a userss mental health. According to a study published last week in the EPJ Data Science journal, researchers at Harvard University and the University of Vermont questioned whether markers of depression could be identified through photos posted on the popular social media site. After using a variety of computational methods including machine learning and image processing to review nearly 4. This weeks roundup isnt so much a top 1. Read more Read. Machines analyzed user activity, how many likes and comments a photo received, and the number of faces in a photo. Bollywood Filme Auf Deutsch Kostenlos Anschauen there. Interestingly, depressed individuals shared posts at a higher frequency, and while those posts received a higher rate of comments, they received fewer likes. Their photos did feature faces, but fewer faces than the healthier participants. The researchers also analyzed photo hue, saturation and value, and whether or not a filter and what type of filter was used. Photos posted by depressed individuals tended to be, pixel by pixel, bluer, darker and greyer and were less likely than those from the healthy participants to have a filter applied. When depressed participants used filters, they favored converting color photos to black and white. The Royal Society for Public Health just released a report containing what you already knew aboutRead more Read. Perhaps even more interesting though is that the researchers were not only able to confirm depression in a person who had already received a formal diagnosis, but the data was able to predict depression pre diagnosis. In an interview with the New York Times, the researchers were clear to state that while the sample size was small, and of a very specifically recruited group of active Instagrammers who were willing to share a past clinical diagnosis of depression, the results speak more to the promise of their techniques.