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7/19/2022 7:32:06 AM | Browse: 224 | Download: 396
Publication Name World Journal of Psychiatry
Manuscript ID 75971
Country United States
Received
2022-02-23 19:43
Peer-Review Started
2022-02-23 19:44
To Make the First Decision
Return for Revision
2022-05-11 22:33
Revised
2022-05-18 01:30
Second Decision
2022-06-10 03:03
Accepted by Journal Editor-in-Chief
Accepted by Company Editor-in-Chief
2022-06-17 22:43
Articles in Press
2022-06-17 22:43
Publication Fee Transferred
Edit the Manuscript by Language Editor
Typeset the Manuscript
2022-07-07 08:58
Publish the Manuscript Online
2022-07-19 07:32
ISSN 2220-3206 (online)
Open Access This article is an open-access article that was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution NonCommercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: https://creativecommons.org/Licenses/by-nc/4.0/
Copyright © The Author(s) 2022. Published by Baishideng Publishing Group Inc. All rights reserved.
Article Reprints For details, please visit: http://www.wjgnet.com/bpg/gerinfo/247
Permissions For details, please visit: http://www.wjgnet.com/bpg/gerinfo/207
Publisher Baishideng Publishing Group Inc, 7041 Koll Center Parkway, Suite 160, Pleasanton, CA 94566, USA
Website http://www.wjgnet.com
Category Psychiatry
Manuscript Type Minireviews
Article Title Social media and schizophrenia: An update on clinical applications
Manuscript Source Invited Manuscript
All Author List Lakshan N Fonseka and Benjamin K P Woo
ORCID
Author(s) ORCID Number
Lakshan N Fonseka http://orcid.org/0000-0003-0073-690X
Benjamin K P Woo http://orcid.org/0000-0002-0127-4850
Funding Agency and Grant Number
Corresponding Author Benjamin K P Woo, MD, Professor, Chinese American Health Promotion Program, Department of Psychiatry and Biobehavioral Sciences, Olive View-University of California, Los Angeles Medical Center, 14445 Olive View Drive, Sylmar, CA 91104, United States. bkpwoo@gmail.com
Key Words Social media; Schizophrenia; Digital phenotype; Facebook; YouTube; Instagram
Core Tip Recent literature demonstrates that social media data analysis guided by machine learning can differentiate users with schizophrenia from healthy controls as well as predict conversion to psychosis and symptom exacerbations. Novel platforms such as Horyzons can improve social functioning in schizophrenia patients, but long-term engagement is a challenge that may be addressed by streamlining the user experience.
Publish Date 2022-07-19 07:32
Citation Fonseka LN, Woo BKP. Social media and schizophrenia: An update on clinical applications. World J Psychiatry 2022; 12(7): 897-903
URL https://www.wjgnet.com/2220-3206/full/v12/i7/897.htm
DOI https://dx.doi.org/10.5498/wjp.v12.i7.897
Full Article (PDF) WJP-12-897.pdf
Full Article (Word) WJP-12-897.docx
Manuscript File 75971_Auto_Edited-LS.docx
Answering Reviewers 75971-Answering reviewers.pdf
Audio Core Tip 75971-Audio core tip.m4a
Conflict-of-Interest Disclosure Form 75971-Conflict-of-interest statement.pdf
Copyright License Agreement 75971-Copyright license agreement.pdf
Peer-review Report 75971-Peer-review(s).pdf
Scientific Misconduct Check 75971-Bing-Fan JR-2.png
Scientific Editor Work List 75971-Scientific editor work list.pdf