Big data in crime statistics: Using Google Trends to measure victimization in designated market areas across the United States
Yu-Hsuan Liu,
Kevin T Wolff,
Tzu-Ying Lo
Abstract:Google Trends (GT) data could potentially supplement traditional crime measurement strategies, allowing criminologists to better understand crime statistics on a macro level. This study assesses the validity of GT crime estimates. The findings indicate that GT data are reliable for estimating MVT, larceny, and rape. Additionally, we illustrate how to use GT to identify places with high rates of unreported offenses. The results of this study demonstrate the feasibility of leveraging open-source big data such as… Show more
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