Reply to De Freitas: Social media language explains less of the variance in depression of Black individuals than of White individuals.

Rai, Sunny; Stade, Elizabeth C; Giorgi, Salvatore; Francisco, Ashley; Ungar, Lyle H; Curtis, Brenda; Guntuku, Sharath C

Rai, Sunny; Stade, Elizabeth C; Giorgi, Salvatore; Francisco, Ashley; Ungar, Lyle H; Curtis, Brenda; Guntuku, Sharath C.

Afiliação

Rai S; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.
Stade EC; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA 19104.
Giorgi S; Institute for Human-Centered Artificial Intelligence, Stanford University, Stanford, CA 94305.
Francisco A; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.
Ungar LH; Technology & Translational Research Unit, National Institute on Drug Abuse Intramural Research Program, NIH, Baltimore, MD 21224.
Curtis B; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.
Guntuku SC; Department of Computer and Information Science, University of Pennsylvania, Philadelphia, PA 19104.

Proc Natl Acad Sci U S A ; 121(29): e2411458121, 2024 Jul 16.

Article em En | MEDLINE | ID: mdl-38976725

Assuntos

Depressão; Idioma; Mídias Sociais; População Branca; Humanos; Depressão/epidemiologia; População Negra/psicologia; Negro ou Afro-Americano

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: População Branca / Depressão / Mídias Sociais / Idioma Limite: Humans Idioma: En Ano de publicação: 2024 Tipo de documento: Article

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