Differential ability of network and natural language information on social media to predict interpersonal and mental health traits-Reference-Cited by-同舟云学术

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Differential ability of network and natural language information on social media to predict interpersonal and mental health traits

Published:2020-08-20 Issue:2 Volume:89 Page:228-243
ISSN:0022-3506
Container-title:Journal of Personality
language:en
Short-container-title:J. Pers.

Author:

Mori Kazuma¹²,Haruno Masahiko¹³^ORCID

Affiliation:

1. Center for Information and Neural Networks (CiNet) National Institute of Information and Communications Technology (NICT) Suita Japan

2. Graduate School of Information Science and Technology Osaka University Suita Japan

3. Grauduate School of Frontier Biosciences Osaka University Suita Japan

Funder

Ministry of Education, Culture, Sports, Science and Technology

Core Research for Evolutional Science and Technology

Publisher

Wiley

Subject

Social Psychology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/jopy.12578

Reference64 articles.

1. In an Absolute State: Elevated Use of Absolutist Words Is a Marker Specific to Anxiety, Depression, and Suicidal Ideation

2. Diagnostic and Statistical Manual of Mental Disorders

3. Predicting the Big 5 personality traits from digital footprints on social media: A meta-analysis

4. Sex Differences in the Brain: Implications for Explaining Autism

5. Diurnal and Seasonal Mood Vary with Work, Sleep, and Daylength Across Diverse Cultures

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2. Análisis del Lenguaje Natural para la Identificación de Alteraciones Mentales en Redes Sociales: Una Revisión Sistemática de Estudios;Revista Politécnica;2024-02-09

3. Deep Depression Detection Based on Feature Fusion and Result Fusion;Pattern Recognition and Computer Vision;2023-12-26

4. Big Data Techniques to Study the Impact of Gender-Based Violence in the Spanish News Media;Central European Journal of Communication;2023-10-17

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