Using Facebook language to predict and describe excessive alcohol use-Reference-Cited by-同舟云学术

Using Facebook language to predict and describe excessive alcohol use

Published:2022-05 Issue:5 Volume:46 Page:836-847
ISSN:0145-6008
Container-title:Alcoholism: Clinical and Experimental Research
language:en
Short-container-title:Alcohol Clin & Exp Res

Author:

Jose Rupa¹^ORCID,Matero Matthew²,Sherman Garrick¹,Curtis Brenda³^ORCID,Giorgi Salvatore³⁴,Schwartz Hansen Andrew²,Ungar Lyle H.⁴⁵

Affiliation:

1. Positive Psychology Center University of Pennsylvania Philadelphia Pennsylvania USA

2. Department of Computer Science Stony Brook University Stony Brook New York USA

3. Technology and Translational Research Unit National Institute on Drug Abuse Baltimore Maryland USA

4. Department of Computer and Information Science University of Pennsylvania Philadelphia Pennsylvania USA

5. Department of Psychology Positive Psychology Center University of Pennsylvania Philadelphia Pennsylvania USA

Funder

National Institute on Alcohol Abuse and Alcoholism

Publisher

Wiley

Subject

Psychiatry and Mental health,Toxicology,Medicine (miscellaneous)

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/acer.14807

Reference69 articles.

1. Screening properties of questionnaires and laboratory tests for the detection of alcohol abuse or dependence in a general practice population;Aertgeerts B.;British Journal of General Practice,2001

2. Pooled Contextualized Embeddings for Named Entity Recognition

3. Carcinogenicity of alcoholic beverages

4. Representativeness of Social Media in Great Britain: Investigating Facebook, LinkedIn, Twitter, Pinterest, Google+, and Instagram

5. 10.1162/jmlr.2003.3.4-5.993

Cited by 5 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. GPT is an effective tool for multilingual psychological text analysis;Proceedings of the National Academy of Sciences;2024-08-12

2. Language-based EMA assessments help understand problematic alcohol consumption;PLOS ONE;2024-03-06

3. Predicting U.S. county opioid poisoning mortality from multi-modal social media and psychological self-report data;Scientific Reports;2023-06-03

4. Applications of social media research in quantitative and mixed methods research;Effective Use of Social Media in Public Health;2023

5. Drinking Buddies: The Importance of Proximal Norms in Emerging Adults’ Alcohol-Related Private and Public Social Media Use;Health Communication;2022-12-06