STOP Project

STOP is a research project that studies mental health issues on social media through Artificial Intelligence.

🦾 Engineers, Psychologists and Psychiatrist work together to change the current suicide numbers.

🔍 We find patters related to high risk of suicide, depression or eating disorders. Check all our publications!

🖤 We launch targeted campaigns on social media addressed to users that match a risk profile. These campaings offer a 24h hotline for emotional support.

📞 We have increased by 60% the calls to the suicide prevention hotline coming from social media.

👣 If you want to collaborate with this project and allow us to extend these campaigns and investigate other social issues, you can click on the Donate button.

UPF Barcelona School of Management

Ana Freire
Principal Researcher

Nia Plamenova
Researcher

Alexandra Theben
Researcher

Universitat Pompeu Fabra, Barcelona

Ricardo Baeza-Yates
Senior Researcher

Diana Ramírez-Cifuentes
Researcher

Pilar Medina
Psychologist

Hospital Parc Taulí

Joaquim Puntí

Psychologist

Nadia Sanz Lamora

Psychologist

Aida Álvarez

Psychologist

Alexandre González-Rodríguez

Psychologist

Computer Vision Centre, Universitat Autonoma de Barcelona

Jordi González

Senior Researcher

Diego Alejandro Velázquez
Ph.D. Student

Fundación FITA

Meritxell Lozano
Social Projects Manager
Raquel Linares
Head - FITA Foundation
Roger Llobet Vives
Psychologist

Université de Lyon

Christine Langeron
Senior Researcher
Julien Tissier
PhD Student

Università della Svizzera Italiana

Fabio Crestani
Senior Researcher
Esteban Ríssola
Researcher

Fundació Ajuda i Esperança

Sergi García
Psychologist
Clara Campaña
Communication and digital marketing expert

Past Collaborators

Aleix Alonso
Undergraduate Student

Rubén González
Undergraduate Student

Ioanna Kanella
Master Student (Erasmus+)

Yu Chen
Master Student

Miguel Fagúndez
Master Student

Lara Sola
Master Student

Marc Mayans
Master Student

Victor Leiva
Master Student

Sofia Milunov
Master Student

Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study
Solans Noguero D, Ramírez-Cifuentes D, Ríssola EA, Freire A
Journal of Medical Internet Research (2023);25:e45184

Caracterizando la anorexia nerviosa en Twitter
Freire A and Ramírez-Cifuentes D
Arch-iletras Científica vol. VI (2021), pp. 189-204. ISSN: 2659-8957

Characterization of Anorexia Nervosa on Social Media: Textual, Visual, Relational, Behavioral, and Demographical Analysis
Ramírez-Cifuentes D, Freire A, Baeza-Yates R, Nadia Sanz Lamora, Aida Álvarez, Alexandre González-Rodríguez, Meritxell Lozano Rochel, Roger Llobet vives, Diego Alejandro Velazquez. Josep Maria gonfnaus, Jordi Gonzàlez
J Med Internet Res 2021;23(7):e25925. DOI: 10.2196/25925

Estudiando Trastornos de la Conducta Alimentaria en Instagram
Aleix Alonso
Master Thesis. Supervised by: Ana Freire. 2021.

Detection of Suicidal Ideation on Social Media: Multimodal, Relational, and Behavioral Analysis
Ramírez-Cifuentes D, Freire A, Baeza-Yates R, Puntí J, Medina-Bravo P, Velazquez DA, Gonfaus JM, Gonzàlez J
J Med Internet Res 2020;22(7):e17758. DOI: 10.2196/17758

Enhanced Word Embeddings for Anorexia Nervosa Detection on Social Media
Ramírez-Cifuentes D, Largeron C, Tissier J, Freire A, Baeza-Yates R.
Advances in Intelligent Data Analysis XVIII. 18th International Symposium - IDA (2020)

Suicide Risk Assessment on Social Media: USI-UPF at the CLPsych 2019 Shared Task
Ríssola E, Ramírez-Cifuentes D, Freire A, Crestani F
Proceedings of the Sixth Workshop on Computational Linguistics and Clinical Psychology - NAACL (2019)

Anorexia Nervosa Detection and Recommendation System
Fagundez, M.
Thesis - Master in Intelligent Interactive Systems (UPF) (2019)

Suicide on Twitter: banal use and social support
Sola, L.
Thesis - Master in Intelligent Interactive Systems (UPF) (2019)

Early Risk Detection of Anorexia on Social Media
Ramírez-Cifuentes D, Mayans M, Freire A
5th International Conference Internet Science (INCI) (2018)

Early Detection of Eating Dissorders in Reddit
Mayans M
Thesis - Master in Intelligent Interactive Systems (UPF) (2018)

UPF's Participation at the CLEF eRISK 2018: Early Risk Prediction on the Internet. Conference and Labs of the Evaluation Forum (CLEF 2018)
Ramírez-Cifuentes D, Freire A
Early Risk Prediction on the Internet (eRisk - CLEF) (2018)

Towards suicide prevention: early detection of depression on social media
Leiva V, Freire A
4th International Conference Internet Science (INCI) (2017).

Towards suicide prevention: early detection of depression on social media
Leiva V
Thesis - Master in Intelligent Interactive Systems (UPF) (2017)

Methodology for detecting suicidal behavior on Social Media
Milunov S
Thesis - Master in Intelligent Interactive Systems (UPF) (2017)

Suicide 2.0: Tracking Online Symptoms to Detect Suicidal Behaviour
Freire A, Puntí-Vidal J, Pàmias-Massana M, Trevisiol M
Salut Mental 4.0. Les noves tecnologies aplicades a la recerca i tractament en Salut Mental. Quart Seminari de la CORE en Salut Mental. (2017)

Comportamenti Suicidari sul Social Media
Freire A
Nuove tecnologie e clinica psicoanalitica. Itinerari Psicoanalitici. (2017)

Jun 2023
Cadena Ser
Inteligencia Artificial en salud mental: así funciona STOP, el proyecto liderado por la ingeniera gallega Ana Freire"

April 2021
La Vanguardia
Aplican la Inteligencia Artificial para detectar conductas suicidas en la red"

April 2021
20 minutos
Ana Freire: "Hablar de salud mental es el primer paso para proponer soluciones"

April 2021
eldiario.es
Aplican la Inteligencia Artificial para detectar conductas suicidas en la red"

April 2021
El Correo Gallego
Ayuda de la Inteligencia Artificial para detectar conductas suicidas en la red"

April 2021
20 minutos
Esta inteligencia artificial ayudaría a detectar con un 85% de precisión los comportamientos suicidas en Twitter"

February 2020
RTVE La 2
Para Todos La 2: Entrevista a Ana Freire.

2020-2021
Radio
The following chanels spoke about STOP:

Do you want to contribute to the project?

We really appreciate you help in many different ways:

🗒 Helping us to collect data for our current studies by answering questionnaires:
Questionnaire (Spanish): Salud Mental y Trabajo

💻 Getting involved in the development of the project:
If you are a developer, data scientist, psychologist, psychiatrist, designer or just have amazing ideas, we might ask you for help in small tasks. Please contact us writing your interests, and will reach you!
Contact us

💝 Contributing with donations to allow us to extend our campaigns and continue our social impact research.

For other type of collaborations (institutional, academic...), please contact us.

Contact information

We will be happy to receive your message!

Email
Write us!

Here we are
Carrer Balmes, 132-134
08008 Barcelona
(+34) 93 542 18 09

Follow us on Instagram:
@stopproject.mentalhealth

STOP is a research project that studies mental health issues on social media through Artificial Intelligence.

🦾 Engineers, Psychologists and Psychiatrist work together to change the current suicide numbers.

🔍 We find patters related to high risk of suicide, depression or eating disorders. Check all our publications!

🖤 We launch targeted campaigns on social media addressed to users that match a risk profile. These campaings offer a 24h hotline for emotional support.

📞 We have increased by 60% the calls to the suicide prevention hotline coming from social media.

👣 If you want to collaborate with this project and allow us to extend these campaigns and investigate other social issues, you can click on the Donate button.

Do you want to contribute to the project?

🗒 Helping us to collect data for our current studies by answering questionnaires: Questionnaire (Spanish): Salud Mental y Trabajo

💻 Getting involved in the development of the project: If you are a developer, data scientist, psychologist, psychiatrist, designer or just have amazing ideas, we might ask you for help in small tasks. Please contact us writing your interests, and will reach you! Contact us

💝 Contributing with donations to allow us to extend our campaigns and continue our social impact research.

For other type of collaborations (institutional, academic...), please contact us.

Contact information

🗒 Helping us to collect data for our current studies by answering questionnaires:
Questionnaire (Spanish): Salud Mental y Trabajo

💻 Getting involved in the development of the project:
If you are a developer, data scientist, psychologist, psychiatrist, designer or just have amazing ideas, we might ask you for help in small tasks. Please contact us writing your interests, and will reach you!
Contact us