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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”

The study acknowledges the challenges of crawling crypto markets and the restricted crawling process, which limits the data available for analysis. Need to explain in the manuscript. 2. The study proposes building an opioid drug social media knowledge graph but does not provide details on the potential impact or implications of such a graph. Need to provide the details in the manuscript. 3.

Vetriselvan Subramaniyan

JMIRx Med 2024;5:e58317

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Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

Authors’ Response to Peer Reviews of “Detecting Substance Use Disorder Using Social Media Data and the Dark Web: Time- and Knowledge-Aware Study”

The study [2] acknowledges the challenges of crawling crypto markets and the restricted crawling process, which limits the data available for analysis. Need to explain in the manuscript. Response: The manuscript is revised as per this comment. Crawling crypto markets poses a significant challenge when applied to data science and machine learning to study the opioid epidemic due to the restricted crawling process.

Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois Lamy, Raminta Daniulaityte, Amit Sheth

JMIRx Med 2024;5:e57838

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Article has an altmetric score of 2