Matthew C Nali (Matthew Nali)

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 13

Top Topics

Machine Learning

Intimate Partner Violence

Top Venues

JMIR infodemiology

Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco

JMIR public health and surveillance

Journal of medical Internet research

This page only lists publications with an associated author ORCID identifier.

Publications

Matthew C Nali, Vidya Purushothaman, Zhuoran Li, Meng Zhen Larsen, Raphael E Cuomo, Joshua S Yang, Timothy K Mackey
Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform. Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco 26 (6) (2024)
Neal A Shah, Zhuoran Li, Tiana McMann, Alec J Calac, Nicolette Le, Matthew C Nali, Raphael E Cuomo, Timothy K Mackey
Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing. Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2023)
Matthew C Nali, Vidya Purushothaman, Zhuoran Li, Meng Zhen Larsen, Raphael E Cuomo, Joshua S Yang, Timothy K Mackey
Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform. Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco (2023)
Qing Xu, Matthew C Nali, Tiana J McMann, Hector Godinez, Jiawei Li, Yifan He, Mingxiang Cai, Christine Lee, Christine Merenda, Richardae Araojo, Timothy K Mackey
Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. JMIR infodemiology 2 (1) (2022)
Tiana J McMann, Alec J Calac, Matthew C Nali, Raphael E Cuomo, James Maroulis, Timothy K Mackey
Synthetic Cannabinoids in Prisons: Content Analysis of TikToks. JMIR infodemiology 2 (1) (2022)
Qing Xu, Matthew C Nali, Tiana J McMann, Hector Godinez, Jiawei Li, Yifan He, Mingxiang Cai, Christine Lee, Christine Merenda, Richardae Araojo, Timothy K Mackey
Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. JMIR infodemiology 2 (1) (2022)
Vidya Purushothaman, Tiana J McMann, Matthew C Nali, Zhuoran Li, Raphael E Cuomo, Timothy K Mackey
Content Analysis of Nicotine Poisoning (Nic Sick) Videos on TikTok: Retrospective Observational Infodemiology Study. Journal of medical Internet research 24 (3) (2022)
Tiana J McMann, Alec J Calac, Matthew C Nali, Raphael E Cuomo, James Maroulis, Timothy K Mackey
Synthetic Cannabinoids in Prisons: Content Analysis of TikToks. JMIR infodemiology 2 (1) (2022)
Qing Xu, Matthew C Nali, Tiana J McMann, Hector Godinez, Jiawei Li, Yifan He, Mingxiang Cai, Christine Lee, Christine Merenda, Richardae Araojo, Timothy K Mackey
Unsupervised Machine Learning to Detect and Characterize Barriers to Pre-exposure Prophylaxis Therapy: Multiplatform Social Media Study. JMIR infodemiology 2 (1) (2022)
Tiana J McMann, Alec J Calac, Matthew C Nali, Raphael E Cuomo, James Maroulis, Timothy K Mackey
Synthetic Cannabinoids in Prisons: Content Analysis of TikToks. JMIR infodemiology 2 (1) (2022)
Joshua S Yang, Raphael E Cuomo, Vidya Purushothaman, Matthew C Nali, Neal Shah, Cortni Bardier, Nick Obradovich, Timothy K Mackey
Campus Smoking Policies and Smoking-Related Twitter Posts Originating From California Public Universities: Retrospective Study. JMIR formative research 5 (12) (2021)
Timothy K Mackey, Jiawei Li, Vidya Purushothaman, Matthew C Nali, Neal Shah, Cortni Bardier, Mingxiang Cai, Bryan A Liang
Big Data, Natural Language Processing, and Deep Learning to Detect and Characterize Illicit COVID-19 Product Sales: Infoveillance Study on Twitter and Instagram. JMIR public health and surveillance 6 (3) (2020)
Timothy K Mackey, Vidya Purushothaman, Jiawei Li, Neal Shah, Matthew C Nali, Cortni Bardier, Bryan A Liang, Mingxiang Cai, Raphael E Cuomo
Machine Learning to Detect Self-Reporting of Symptoms, Testing Access, and Recovery Associated With COVID-19 on Twitter: Retrospective Big Data Infoveillance Study. JMIR public health and surveillance 6 (2) (2020)