New AI Detects Mental Disorders Based On Web Posts

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The academic developer, obviously of a Technocrat mind, states that “Social media offers an easy way to tap into people’s behaviors”. So, depending on how the algorithm defines “mental disorders” you can be stereotyped and directed to a therapy program to straighten you out. ⁃ TN Editor

Dartmouth researchers have built an artificial intelligence model for detecting mental disorders using conversations on Reddit, part of an emerging wave of screening tools that use computers to analyze social media posts and gain an insight into people’s mental states.

What sets the new model apart is a focus on the emotions rather than the specific content of the social media texts being analyzed. In a paper presented at the 20th International Conference on Web Intelligence and Intelligent Agent Technology, the researchers show that this approach performs better over time, irrespective of the topics discussed in the posts.

There are many reasons why people don’t seek help for mental health disorders—stigma, high costs, and lack of access to services are some common barriers. There is also a tendency to minimize signs of mental disorders or conflate them with stress, says Xiaobo Guo, Guarini ’24, a co-author of the paper. It’s possible that they will seek help with some prompting, he says, and that’s where digital screening tools can make a difference.

“Social media offers an easy way to tap into people’s behaviors,” says Guo. The data is voluntary and public, published for others to read, he says.

Reddit, which offers a massive network of user forums, was their platform of choice because it has nearly half a billion active users who discuss a wide range of topics. The posts and comments are publicly available, and the researchers could collect data dating back to 2011.

In their study, the researchers focused on what they call emotional disorders—major depressive, anxiety, and bipolar disorders—which are characterized by distinct emotional patterns. They looked at data from users who had self-reported as having one of these disorders and from users without any known mental disorders.

They trained their model to label the emotions expressed in users’ posts and map the emotional transitions between different posts, so a post could be labeled “joy,” “anger,” “sadness,” “fear,” “no emotion,” or a combination of these. The map is a matrix that would show how likely it was that a user went from any one state to another, such as from anger to a neutral state of no emotion.

Different emotional disorders have their own signature patterns of emotional transitions. By creating an emotional “fingerprint” for a user and comparing it to established signatures of emotional disorders, the model can detect them. To validate their results, they tested it on posts that were not used during training and show that the model accurately predicts which users may or may not have one of these disorders.

This approach sidesteps an important problem called “information leakage” that typical screening tools run into, says Soroush Vosoughi, assistant professor of computer science and another co-author. Other models are built around scrutinizing and relying on the content of the text, he says, and while the models show high performance, they can also be misleading.

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About the Editor

Patrick Wood
Patrick Wood is a leading and critical expert on Sustainable Development, Green Economy, Agenda 21, 2030 Agenda and historic Technocracy. He is the author of Technocracy Rising: The Trojan Horse of Global Transformation (2015) and co-author of Trilaterals Over Washington, Volumes I and II (1978-1980) with the late Antony C. Sutton.
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coronistan.blogspot.com

The test swab fraud is not enough.

Steve Prewitt

These guyz have too much time on their hands and too much grant money. I would be interested though in seeing them analyze the “bot farmers” mentl disorders – one AI analyzing another AI – their fuses might explode…

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Greg

Thought Crime. 1984.

elle

“…researchers focused on what they call emotional disorders—major depressive, anxiety, and bipolar disorders—which are characterized by distinct emotional patterns.”

I’d say the researchers/coders have their own little Minority Report program going here. Before long they intend to label innocent people as crazy and dangerous to be throw into the thought Gulag, for writing opinions.

How does one prevent being discovered as a crazy? Work for a technocratic corporate entity funded by totalitarians and write your reality into a program that will, without a doubt, make others identifiable but keep you safe.

Last edited 9 months ago by elle

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