They are developing an algorithm that can distinguish unhappy users in networks

Researchers from the Open University of Catalonia (UOC) algorithm that can distinguish users social media those who are unhappy with analyzing texts and images They share a tool they hope will be useful in helping diagnose potential mental health problems.

The UOC’s research also revealed that: Spanish-speaking users are more likely to mention problems than English-speaking users about their relationships when they feel bad.

The algorithm, which is trained on searches on Instagram, Facebook, and Twitter, is based on William Glasser’s choice theory, in which five basic needs are at the root of all human behavior: survival, power, freedom, belonging and fun.

According to experts, these needs influence which image we choose to upload to our Instagram profile.

“How we manifest ourselves in social networks can provide useful information about behaviors, personalities, perspectives, motives and needs,” said Mohammad Mehdi Dehshibi, who coordinates research in the AI ​​for Human Health (AIWELL) group. UOC’s Computer, Multimedia and Telecommunications Studies.

The researchers worked on the deep learning model for two years. Defines the five needs identified by Glasser, using multimodal data such as images, text, bio or geolocation.

To perform the study, published in the journal IEEE Transactions on Affective Computing, they analyzed 86 Instagram profiles posted in Spanish and Persian.

get old neural networks and databasesThe experts trained an algorithm to identify the content of images and classify text content, assigning them different labels suggested by psychologists, and compared the results to a database of more than 30,000 images, titles, and comments.

Mehdi Dehshibi, also a researcher at the imBody Research Laboratory of the University of Madrid Carlos III and the Non-Traditional Computing Laboratory of the University of the West of England in Bristol, explains this with an example: “Imagine a cyclist climbing a mountain and a selfie at the top. or you can choose to share group picture.

If you choose selfie, we perceive the need for power, but if you choose the other, we can conclude that the person is looking for a way to satisfy the need for belonging as well as having fun.‘, he explains.

Researchers also found that Spanish-speaking users were more likely than English-speaking users to talk about relationship problems when they were feeling down.

examining social media data “Belonging to non-English speaking users can help create inclusive and diverse tools and models for addressing mental health issues in people of different cultural or linguistic backgrounds,” they write.

The authors believe their research can help improve preventative measures when someone is diagnosed with a mental disorder, from identifying the problem to improving treatments.

Source: Informacion

Popular

More from author

DPR representation reported that the Ukrainian Armed Forces launched a missile attack on the republic 11:09

The Armed Forces of Ukraine (AFU) launched a missile attack on the territory of the Donetsk People's Republic (DPR). This has been reported...

Sergei Svetlakov about his relationship with Brezhneva: “We needed each other creatively” 11:15

Russian TV presenter and actor Sergei Svetlakov in an interview with blogger Nadezhda Strelets denied Rumors of a relationship with singer Vera Brezhneva. "We had...

A group of drugs that harm the heart has been identified 11:13

Scientists at the University of Colorado found that taking ADHD medications like Adderall or Ritalin can lead to arrhythmias, heart failure, and cardiac arrest....

Vivo introduced its chameleon body smartphone in Russia 11:11

Vivo introduced in Russia a new smartphone V30 from the middle price category, one of the main features of which is the back panel...