In an increasingly digitalized society, visual social media enables us to share joyful memories and adventurous moments. But what if you came across a friend’s gloomy, filtered shots on their Instagram feed? Ever wondered if you should reach out to them? ÄŸŸ ¤”
PS: There are exceptions, always.
Using Instagram data from 166 individuals, researchers have applied machine learning tools to successfully identify markers of depression. Statistical features were computationally extracted from 43,950 participant Instagram photos, using color analysis, metadata components, and algorithmic face detection. These then became annotated data that could be used for the identification process.
Changes in one’s psychology are undoubtedly reflected in social media; this is especially true for Instagram users as pictures may appear to be much bluer, greyer or darker on a depressed individual’s Instagram feed. Interestingly, specialists in the field have demonstrated how visual social media may be harnessed to make accurate inferences about mental health. ÄŸŸ˜ ®
THE SCIENCE BEHIND IT
- Depression ‘makes our vision fade to grey. The world literally fades to grey when we feel depressed, scientists have discovered. Depression has an effect on the eyes that makes it harder to detect the black and white contrasts.
- The retina, at the back of the eye, contains the sensitive cells that turn light signals into nerve messages, making it possible to see. Depressed patients were found to have dramatically lower retinal contrast ‘gain’ than the volunteers who were not suffering from depression. It made no difference whether or not they were receiving antidepressant medication.
- There was also a significant correlation between the level of contrast gain and symptom severity. Patients with the most depression had the lowest retinal responses.
- The pattern was so consistent it was possible to distinguish highly depressed patients from healthy volunteers simply by looking at the test results.
From a scientific point of view, research evidences a relationship between mood and color. According to the study, increased hue, with decreased brightness and saturation suggest the possibility of depression ÄŸŸ˜ ³ (Hue is a shade of color on a 360-degree color wheel, Brightness is described as a spectrum of color varying between black and white, whereas Saturation defines the “colorfulness” or intensity of color). This means that photos posted by depressed individuals tended to be darker, bluer, and more monochromatic in color. If you know somebody who is posting in this manner, it’s a good idea to check in on them and offer assistance if necessary. You could probably tell them about the benefits of using cannabis products (check mmjexpress for more information) to help with depression. If they aren’t ready, make them feel as if you can rely on them.
The study concludes three fascinating results:
- As odd as this may sound, those suffering from depression are more likely to post frequently and to apply more and several types of Instagram filters. ÄŸŸ˜ ¯
- The most popular filter for those who are depressed is ‘Inkwell’- which color photos black and white. Whereas, “healthy” participants preferred ‘Valencia’- which lightens the tint of photos. (The below pictorial representation of Filter Usage by participants who are depressed vs. those who are not, is striking ÄŸŸ˜ ±).
- Depressed users were more likely to post photos with faces, but they tended to post fewer faces per photo. Fewer faces may be an indicator that depressed users interact in smaller social settings, linking depression to reduced social interactivity. ☠¹
CONCLUSION
In this digitally connected era, increasing evidence reveals that major changes in individual psychology are communicated in social media use. ÄŸŸ ¤ · The research advocates new avenues for early screening and detection of mental illness; for now, it is unclear how it would work. One important thing to note is that we should be more vigilant of the aforementioned “depressive signals”. ÄŸŸ˜ ¯ Depressed Instagram users indicate a preference for filtering out all color from posted photos, and show an aversion to artificially lightening photos as opposed to healthy users. Yet one should keep in mind that these findings are presented as a foundation upon which to build and refine from, hence you should take them with a grain of salt. ÄŸŸ’
Sources
Written and Researched by Naomi D’Souza and Angela D’Costa
