Tim Mackey

Professor

University of California, San Diego

United States

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About

Tim Mackey is a Professor at the University of California, San Diego. His research focuses on health information, misinformation, and the implications of generative AI technologies. He has conducted exploratory analyses on cannabis product claims and has developed digital tools to enhance clinical trial participation among young adults. Additionally, his work includes investigating online discussions around substance use and the characterization of product characteristics in both legitimate and dark web markets.

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2022

Collaborators (6)

Amir Reza Ashraf

Assistant professor

University of Pecs

HUNGARY

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Joshua Yang

Professor

California State University Fullerton

UNITED STATES

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Janos Schmidt

University of Pécs, Medical School

HUNGARY

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Bryan Liang

Professor emeritus

University of California, San Diego

UNITED STATES

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András Fittler

senior lecturer

University of Pécs Faculty of Pharmacy

HUNGARY

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Raphael Cuomo

Assistant Professor

University of California, San Diego

UNITED STATES

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Tim Mackey

Research Interests

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About

Articles (28)

Identification of Cannabis Product Characteristics and Pricing on Dark Web Markets

Approach to Design and Evaluate Digital Tools to Enhance Young Adult Participation in Clinical Trials: Co-Design and Controlled Intercept Study

Online Availability of Diamond Shruumz Before and After FDA Recall Initiation: Qualitative Assessment and Simulated Test Purchasing

Viewpoint on the Intersection Among Health Information, Misinformation, and Generative AI Technologies

Exploratory analysis of United States‐based cannabis product health benefit claims on online marketplaces

Characterizing Experiences With Hikikomori Syndrome on Twitter Among Japanese-Language Users: Qualitative Infodemiology Content Analysis

Identification and Characterization of Illegal Sales of Cannabis and Nicotine Delivery Products on Telegram Messaging Platform

Search Engines and Generative Artificial Intelligence Integration: Public Health Risks and Recommendations to Safeguard Consumers Online

Pilot study: Using data mining to develop a machine learning pipeline to identify characteristics of products claiming health benefits for women

Large Language Models Can Enable Inductive Thematic Analysis of a Social Media Corpus in a Single Prompt: Human Validation Study

Is This Safe? Examining Safety Assessments of Illicit Drug Purchasing on Social Media Using Conjoint Analysis

Identification and Characterization of Synthetic Nicotine Product Promotion and Sales on Instagram Using Natural Language Processing

Digital technologies used in clinical trial recruitment and enrollment including application to trial diversity and inclusion: A systematic review

Multifactor Quality and Safety Analysis of Semaglutide Products Sold by Online Sellers Without a Prescription: Market Surveillance, Content Analysis, and Product Purchase Evaluation Study

Detection and Characterization of Online Substance Use Discussions Among Gamers: Qualitative Retrospective Analysis of Reddit r/StopGaming Data

Evaluating the Influence of Role-Playing Prompts on ChatGPT’s Misinformation Detection Accuracy: Quantitative Study

Applying topic modelling and qualitative content analysis to identify and characterise ENDS product promotion and sales on Instagram

Impact of COVID-19 on HIV Prevention Access: A Multi-platform Social Media Infodemiology Study

Assessing Characteristics and Compliance of Online Delta-8 Tetrahydrocannabinol Product Sellers

Liability Before Diagnosis: Failure to Admit in a Stroke Case

Public Figure Vaccination Rhetoric and Vaccine Hesitancy: Retrospective Twitter Analysis

Understanding Medical Malpractice Lawsuits

Estimating County-Level Overdose Rates Using Opioid-Related Twitter Data: Interdisciplinary Infodemiology Study

Examining the association between California tobacco licensed retail density and public support or opposition to state anti-tobacco legislation

Detecting nuance in conspiracy discourse: Advancing methods in infodemiology and communication science with machine learning and qualitative content coding

Characterization of COVID-19 vaccine clinical trial discussions on the social question-and-answer site Quora

Multifactor Quality and Safety Analysis of Antimicrobial Drugs Sold by Online Pharmacies That Do Not Require a Prescription: Multiphase Observational, Content Analysis, and Product Evaluation Study

An Unsupervised Machine Learning Approach for the Detection and Characterization of Illicit Drug-Dealing Comments and Interactions on Instagram

Collaborators (6)

Amir Reza Ashraf

Joshua Yang

Janos Schmidt

Bryan Liang

András Fittler

Raphael Cuomo

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