This paper is in the following e-collection/theme issue:

Artificial Intelligence (1186) Infodemiology and Infoveillance (1269) Infoveillance, Infodemiology, Digital Disease Surveillance, Infodemic Management (1010) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1552) Eating Disorders (73) Validity, Reliability, and Bias (89)

Published on in Vol 25 (2023)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/45184, first published .
Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study

Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study

Gender Bias When Using Artificial Intelligence to Assess Anorexia Nervosa on Social Media: Data-Driven Study

Authors of this article:

David Solans Noguero1, 2 Author Orcid Image ;   Diana Ramírez-Cifuentes2, 3 Author Orcid Image ;   Esteban Andrés Ríssola4 Author Orcid Image ;   Ana Freire5 Author Orcid Image
Article Authors Cited by (5) Tweetations (14) Metrics

David Solans Noguero   1, 2 , PhD ;   Diana Ramírez-Cifuentes   2, 3 , PhD ;   Esteban Andrés Ríssola   4 , PhD ;   Ana Freire   5 , PhD

1 Telefonica I+D, Telefónica Research, Barcelona, Spain

2 Web Science and Social Computing group, Universidad Pompeu Fabra, Barcelona, Spain

3 Computer Vision Center, Bellaterra (Cerdanyola del Vallès), Spain

4 Departamento de Ciencias Básicas, Universidad Nacional de Luján, Luján, Argentina

5 Innovation and Sustainability Data Lab, UPF Barcelona School of Management, Barcelona, Spain

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