"420 Friendly": Revealing Marijuana Use via Craigslist Rental Ads
Anh Nguyen, Long Nguyen, Dong Nguyen, Uyen Le, Tuan Tran

TL;DR
This study develops a text-mining approach to analyze Craigslist rental ads for marijuana use concerns, providing a new public health surveillance tool that correlates online data with legal marijuana use across U.S. states.
Contribution
The paper introduces a novel method for extracting marijuana-related concerns from Craigslist ads and links this data to geographic and legal contexts for public health monitoring.
Findings
Strong correlation between Craigslist ads and Google searches in legal states
Detection of marijuana use concerns in states where use is illegal
Method can inform public health policy and regulation development
Abstract
Recent studies have shown that information mined from Craigslist can be used for informing public health policy or monitoring risk behavior. This paper presents a text-mining method for conducting public health surveillance of marijuana use concerns in the U.S. using online classified ads in Craigslist. We collected more than 200 thousands of rental ads in the housing categories in Craigslist and devised text-mining methods for efficiently and accurately extract rental ads associated with concerns about the uses of marijuana in different states across the U.S. We linked the extracted ads to their geographic locations and computed summary statistics of the ads having marijuana use concerns. Our data is then compared with the State Marijuana Laws Map published by the U.S. government and marijuana related keywords search in Google to verify our collected data with respect to the…
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Taxonomy
TopicsHIV, Drug Use, Sexual Risk · Data-Driven Disease Surveillance · Smoking Behavior and Cessation
