This paper is in the following e-collection/theme issue:

Peer Reviews (210)

Published on in Vol 5 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/58320, first published .
Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

Peer Review of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

Authors of this article:

Anonymous
Article Authors Cited by Tweetations (3) Metrics


    This is the peer-review report for “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study.”


    This study [1] can be considered for publication if the researchers are able to revise it to improve the clarity of the objective, theoretical relevance, and practical value. I will suggest that there should be a segment on the objective of the study immediately after the introduction. This will help in giving the study a direction. Please, include this citation:

    Obosi AC, Fatunbi AM, Oyinloye O. Peer pressure and substance use as predictors of mental health among in-school adolescents in Nigeria. Ianna J Interdisciplinary Stud. 2022;4(1):1‐9.

    Explain the implication of your findings to other countries, that is, give the study an international outlook.

    Conflicts of Interest

    None declared.

    1. Lokala U, Phukan OC, Dastidar TG, Lamy F, Daniulaityte R, Sheth A. Detecting substance use disorder using social media data and the dark web: time- and knowledge-aware study. JMIRx Med. 2024;5:e48519. [CrossRef]

    Edited by Edward Meinert; This is a non–peer-reviewed article. submitted 12.03.24; accepted 12.03.24; published 01.05.24.

    Copyright

    © Anonymous. Originally published in JMIRx Med (https://med.jmirx.org), 1.5.2024.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIRx Med, is properly cited. The complete bibliographic information, a link to the original publication on https://med.jmirx.org/, as well as this copyright and license information must be included.