Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.
Details
![Ressource 1](https://serval.unil.ch/static/img/forbidden.png)
UNIL restricted access
State: Public
Version: author
License: Not specified
Serval ID
serval:BIB_3D1E48F7BFAE
Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Uncovering the most robust predictors of problematic pornography use: A large-scale machine learning study across 16 countries.
Journal
Journal of Psychopathology and Clinical Science
ISSN
2769-755X
2769-7541
2769-7541
Publication state
Published
Issued date
17/06/2024
Peer-reviewed
Oui
Language
english
Pubmed
Create date
18/07/2024 18:40
Last modification date
19/07/2024 7:07