Both those with schizophrenia and those with social anhedonia have alterations in the social brain network and a diminished correlation with real-world social network size.
Patients with schizophrenia, but not those with social anhedonia, exhibited deficits in real-life social network size. Those with schizophrenia and those with social anhedonia had reversals functional connectivity to one another. People with schizophrenia showed decreased segregation and functional connectivity in brain areas associated with social behaviors, while those with social anhedonia had an increase in connectivity and segregation.
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While seeking support via social media doesn't necessarily harm mental health, it doesn't help it either. However, real-life social interactions can have a positive effect on mental health.
Study uncovers how misinformation and fake news can spread via social media platforms like Twitter. Those with high numbers of mutual followers are more likely to spread "dreadful" misinformation. Findings could offer solutions to prevent fake news dissemination.
The use of social media sites such as Facebook does not directly lead to an increased risk of depression. However, social media can trigger depression in users if they post passive content.
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Combining artificial intelligence and computer vision technology, researchers were able to determine anxiety and depression risks from peoples' Twitter profile pictures.
Artificial IntelligenceDeep LearningFeaturedMachine LearningNeuroscienceNeurotechOpen Neuroscience Articles··3 min read
Researchers improved the performance of natural language processing technology to increase recognitionion of names associated with characters in Game of Thrones, and other literature, from 7% to 90%.
According to researchers, social media use in young women can have a negative impact on the way they view their own bodies and appearance. The study reports women who engage with photos of friends they consider to be more attractive than themselves feel worse about their own appearance directly after viewing.
Artificial IntelligenceDeep LearningFeaturedNeuroscienceNeurotechOpen Neuroscience ArticlesPsychology··4 min read
Using AI to examine over 800 million tweets, researchers reveal how our mode of thinking alters during the course of the day. The study reports early morning tweets tend to be correlated with more logical thinking patterns, while middle of the night tweets tend to exhibit more existential concerns.
A new study links increased time spent on social media by 10 year old girls to a decline in wellbeing at the age of 15.