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. 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. I’m very bad at processing my feelings alone. If I don’t want to spiral into anxiety, I need to…Read more Smaller- scale research is also on the rise — with Instagram being the latest service to capture a picture of what’s going on with a users’s 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 week’s roundup isn’t so much a top 1. ![]() Search metadata Search full text of books Search TV captions Search archived web sites Advanced Search. ![]() InformationWeek.com: News, analysis and research for business technology professionals, plus peer-to-peer knowledge sharing. Engage with our community. Offers 50 GB of free storage space. Uploaded files are encrypted and only the user holds the decryption keys. This change log includes the Bink development history for both Bink 1 and Bink 2 (which are licensed separately). The minor versions are released in sync, so, for. Read more Machines analyzed user activity, how many “likes” and comments a photo received, and the number of faces in a photo. 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 about…Read more 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.”.
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