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• W2766794804 abstract "Background: Substance use–related communication for drug use promotion and its prevention is widely prevalent on social media. Social media big data involve naturally occurring communication phenomena that are observable through social media platforms, which can be used in computational or scalable solutions to generate data-driven inferences. Despite the promising potential to utilize social media big data to monitor and treat substance use problems, the characteristics, mechanisms, and outcomes of substance use–related communications on social media are largely unknown. Understanding these aspects can help researchers effectively leverage social media big data and platforms for observation and health communication outreach for people with substance use problems." @default.
• W2766794804 created "2017-11-10" @default.
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• W2766794804 date "2017-10-31" @default.
• W2766794804 modified "2023-09-30" @default.
• W2766794804 title "Scaling Up Research on Drug Abuse and Addiction Through Social Media Big Data" @default.
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• W2766794804 doi "https://doi.org/10.2196/jmir.6426" @default.
• W2766794804 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5686417" @default.
• W2766794804 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/29089287" @default.
• W2766794804 hasPublicationYear "2017" @default.
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