Carolina Suárez-Llevat ^1,2 Beatriz Jiménez-Gómez ³ Carlos Ruiz-Nuñez ⁴ Invención Fernández-Quijano ⁵ Eva María Rodriguez-González ⁶ Carlos De La Torre-Domingo ⁶ Ivan Herrera-Peco ^7*

• ¹ 1 Psychology Department. Faculty of Education, Universidad Alfonso X el Sabio. Villanueva de la Ca-ñada. Madrid. Spain, Villanueva de la Cañada, Spain
• ² 2 School for doctoral studies and research. Universidad Europea de Madrid,Villaviciosa de Odón, Ma-drid. Spain, Villaviciosa de Odón, Spain
• ³ Department of Nursing, Human Nutrition and Dietetics, Universidad Europea de Madrid, Villaviciosa de Odón, Madrid, Spain
• ⁴ Program in Biomedicine, Translational Research and New Health Technologies, School of Medicine, University of Malaga. Malaga, Málaga., Spain
• ⁵ Psychology Department. Faculty of Medicine. Universidad Alfonso X el Sabio., Villanueva de la Cañada. Madrid, Spain
• ⁶ Faculty of Health Sciences, Universidad Alfonso X el Sabio. Villanueva de la Cañada. Madrid. Spain, Villanueva de la Cañada, Madrid, Spain
• ⁷ Faculty of Health Sciences and Sports, Alfonso X El Sabio University, Madrid, Spain

Schizophrenia is a persistent mental health condition that, while presenting challenges, underscores the dynamic nature of cognitive functions and encourages a unique perspective on how individuals engage with their surroundings. Social networks, as a means of communication of great importance at the present time, are for this type of people a way of interacting with their environment with a high level of security. The aim is to find out how schizophrenia is dealt with in different social networks and to differentiate between different types of articles dealing with the use of Facebook, X (former Twitter), YouTube, TikTok, Instagram, and Weibo . A total of 45 articles to i) Social networks used, ii) Country of analyzed users, iii) age of the users analyzed, iv) focus of the analyzed manuscript (mental health literacy, stigmatization, detection of patterns associated with schizophrenia, and Harmful substance use). It was observed that 45.45% of the studies analyzed were conducted in the USA population, followed by UK and China (13.64%). The most analyzed social networks were those based on audiovisual communication (60%). Furthermore, the two main foci addressed in these articles were: stigmatization of schizophrenia with 16 articles (35.55%), following by the prediction of schizophrenia-detecting patterns with 15 articles (33.338%) and the use of social networks to stigmatize people with schizophrenia (38%) and only 14 articles (31.11%) were focused on mental health literacy. Likewise, it was found that there is great potential in the use of the analysis of the content generated, as possible predictors of the presence of this disease, which would allow rapid detection and intervention for psychosis and schizophrenia.