For several years the pervasive belief that the Super Bowl is the single biggest day for human trafficking in the United States each year has been perpetuated in popular press despite a lack of evidentiary support. The practice of relying on hearsay and popular belief for decision-making may result in misappropriation of resources in anti-trafficking efforts. We propose a data-driven approach to analyzing sex trafficking, especially as it is carried on during-and perhaps in response to-large public events such as the Super Bowl. We examine 33 public events, chosen for attendance numbers comparable to the Super Bowl from a diversity of types, and use the volume of escort advertisements posted online as an accessible and reasonable proxy measure for the actual levels of activity of sex-workers as well as trafficking victims. Our analysis puts the impact of local public events on sex advertisement activity into perspective. We find that many of the events we considered are not correlated with statistically significant impact on sex-worker advertising, though some are. Additionally, we demonstrate how our method can uncover evidence of other events, not included in our initial list, that are correlated with more significant increases in ad activity. Reliance on quantitative evidence accessible through datadriven analysis can inform wise resource allocation, guide good policies, and foster the most meaningful impact.
Similarly, the data-driven approach of REF showed that in some but not all events, one can see a correlation between occurrence of the event and statistically significant evidence of an influx of sex trafficking activity.
Do Public Events Affect Sex Trafficking Activity?
arXiv: Applications
Mathematics