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How You Instagram Can Reveal Whether or Not You’re Depressed, Study Says

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How you Instagram might reveal more about you than just what you did last weekend. One study found that certain Instagram photos can predict the markers of depression, as New York Magazine's Select All reports. And it's not the first study to link social media use and mental illness.

The study, in EPJ Data Science, looked at almost 44,000 posts from 166 people (71 of them depressed) using color analysis, metadata, and face detection software. (While less than 200 people isn’t a big enough number to really cement these findings, they at least analyzed a whole lot of brunch pics.) They found machine learning could successfully distinguish between the behavior of people diagnosed with depression and those with a clean bill of mental health by looking at the Instagram filter type of photos, the setting, whether or not there were people, color, brightness, and how many “likes” and comments it got. They also looked at how often people used the app and how often they posted.

The researchers’ Instagram model worked the majority of the time to correctly identify depression, even in posts made before the researchers diagnosed the person’s mental health status. Compare that to general practitioners' rates for correctly diagnosing depressed patients, which studies have found hover around 42 percent.

Depressed people tended to post darker photos, often using Instagram’s black-and-white Inkwell filter. They received more comments, but fewer likes on their posts. They tended to post photos of faces, but typically fewer faces than non-depressed users (social isolation is often linked to depression). By contrast, healthy people loved Valencia, which lightens images, and tended to get more likes.

Loving a black-and-white photo doesn't necessarily mean you're depressed. Maybe you’re just trying out your best Ansel Adams impression. But given the outsized role social media plays in modern life, it might be able to provide doctors with insights into patients' inner thoughts and feelings that they might not otherwise be privy to.

Other studies, too, have found that technology use can provide a window into people's souls, mental health and all. Research has found that unhappy people use their smartphones to cope with negative feelings, linking increased phone usage to anxiety and depression. A 2015 study found that smartphones could predict depression by tracking how often and where people moved.

In some cases, though, social media seems to play an active role in making people unhappy, rather than simply revealing their existing unhappiness. A 2017 study of 5000 people found that the more time people spent using Facebook, the worse their sense of well-being. (And that's even before you start talking about reading the news.) Other surveys have found that for teenagers, Instagram and Snapchat usage are associated with low self-esteem, bullying, and more.

But even if obsessively Instagram is making you unhappy in the first place, how you use social media could be an important factor for doctors to consider when evaluating mental health. It's hard to open up to people about depressive thoughts, especially if it's a medical professional you only see once a year. You might tell your doctor you feel fine, but be more honest about your inner darkness on Instagram—whether you realize it or not. So although you probably don’t want to hand over your social media history to your medical providers on a regular basis, it could provide a useful way to screen patients who aren't able to fully convey their mental health issues.

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Google's AI Can Make Its Own AI Now
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Artificial intelligence is advanced enough to do some pretty complicated things: read lips, mimic sounds, analyze photographs of food, and even design beer. Unfortunately, even people who have plenty of coding knowledge might not know how to create the kind of algorithm that can perform these tasks. Google wants to bring the ability to harness artificial intelligence to more people, though, and according to WIRED, it's doing that by teaching machine-learning software to make more machine-learning software.

The project is called AutoML, and it's designed to come up with better machine-learning software than humans can. As algorithms become more important in scientific research, healthcare, and other fields outside the direct scope of robotics and math, the number of people who could benefit from using AI has outstripped the number of people who actually know how to set up a useful machine-learning program. Though computers can do a lot, according to Google, human experts are still needed to do things like preprocess the data, set parameters, and analyze the results. These are tasks that even developers may not have experience in.

The idea behind AutoML is that people who aren't hyper-specialists in the machine-learning field will be able to use AutoML to create their own machine-learning algorithms, without having to do as much legwork. It can also limit the amount of menial labor developers have to do, since the software can do the work of training the resulting neural networks, which often involves a lot of trial and error, as WIRED writes.

Aside from giving robots the ability to turn around and make new robots—somewhere, a novelist is plotting out a dystopian sci-fi story around that idea—it could make machine learning more accessible for people who don't work at Google, too. Companies and academic researchers are already trying to deploy AI to calculate calories based on food photos, find the best way to teach kids, and identify health risks in medical patients. Making it easier to create sophisticated machine-learning programs could lead to even more uses.

[h/t WIRED]

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European Space Agency Releases First High-Res Land Cover Map of Africa
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This isn’t just any image of Africa. It represents the first of its kind: a high-resolution map of the different types of land cover that are found on the continent, released by The European Space Agency, as Travel + Leisure reports.

Land cover maps depict the different physical materials that cover the Earth, whether that material is vegetation, wetlands, concrete, or sand. They can be used to track the growth of cities, assess flooding, keep tabs on environmental issues like deforestation or desertification, and more.

The newly released land cover map of Africa shows the continent at an extremely detailed resolution. Each pixel represents just 65.6 feet (20 meters) on the ground. It’s designed to help researchers model the extent of climate change across Africa, study biodiversity and natural resources, and see how land use is changing, among other applications.

Developed as part of the Climate Change Initiative (CCI) Land Cover project, the space agency gathered a full year’s worth of data from its Sentinel-2A satellite to create the map. In total, the image is made from 90 terabytes of data—180,000 images—taken between December 2015 and December 2016.

The map is so large and detailed that the space agency created its own online viewer for it. You can dive further into the image here.

And keep watch: A better map might be close at hand. In March, the ESA launched the Sentinal-2B satellite, which it says will make a global map at a 32.8 feet-per-pixel (10 meters) resolution possible.

[h/t Travel + Leisure]

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