According to reports, earlier this year, despite its popularity, Instagram may be the worst social media platform for young women. This is because it is related to a range of issues, such as negative body image and FOMO (that is, fear of missing), which may be due to the use of realistic distortion filters on social media sites.
A new study shows that your favorite Instagram filter can explain your mental health. (Source: LuckyBusiness / iStock / GettyImages) A new study now finds that these filters may actually be the key to understanding an individual's mental health. This is correct: your preference for Juno may be related to how happy or sad you are.
Scientists have deduced that an algorithm that can accurately diagnose d is 70% of the time just to look at your selfie or avocado toast photo. Interestingly, the content you post is not important; instead, it is the Insta-filter that you use to train your photos, which is very instructive.
According to the algorithm, when you get the blues, it will show up in your feed.
"Depressed photos posted by individuals in our study are bluer, darker, and more gray than posts from health participants," Harvard graduate and principal researcher Andrew Reece told CBS News. He and co-author, Professor Christopher Foss of the School of Engineering and Mathematical Sciences at the University of Vermont studied 166 people's Instagram information and they were asked to fill out a questionnaire about their menta. l healthy. A total of 44,000 photos were analyzed using a unique software that visually detected signs of depression.
The researchers found that the filter for the grammatical selection of depression is usually an ink bottle that turns a color snapshot into a black-white photo. “Healthy Participants” chose Valencia, a filter that brightens the tone. In other words, depressed people seem to want to remove all the colors from their photos, while happier people want to make them active. “Our results show that depression does make people pass darker,The darker shots see their world,” Reece said.
Another less surprising finding of the study? Frustrated people posted more single shots than group shots, researchers I think this may be because they are not
Previous studies have found that doctors can only accurately diagnose depression within 40% of the time, but Reece and Danforth maintain their computer program correctly detecting it 10 times. There are 7 times - which means that 30% of this algorithm is more effective in diagnosing the condition than a real human with a medical degree. Crazy, right?
But the researchers did not suggest that you give up your doctor, Let the computer prescribe the medicine. Instead, they hope that the new information will complement the diagnosis process. “It is clear that depression is not easy to diagnose, and the calculations we take here may ultimately help health care professionals, not compete with them. Because they seek accurate mental health assessments, says Reece.
If you are worried about depression, here are eight warning signs that you should not ignore!
What do you think?
What do you think is your favorite Instagram filter? Do you think it accurately describes the mental health you described in this study? You think the computer will be more helpful in the future. Diagnose your mental health status? Tell us what you think in the comments.
