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INDICATORS OF SEX TRAFFICKING IN ONLINE ESCORT ADSBackgroundLaw enforcement and prosecutors have long used online escort advertisements to identify sex trafficking victims and investigate cases. Several ad characteristics are used and shared among investigators as signs of trafficking, but they have not yet been empirically tested for predictive power to support investigative decisions or the use of ads as evidence in court.
Study ObjectivesTo improve victim identification and investigations, this National Institute of Justice-funded study had two objectives:
Indicators of Sex Trafficking in Online Escort Ads Research Brief Study GoalThe goal is to create guidance that investigators can use to help focus limited investigational resources on ads more likely to represent a trafficking victim. Law Enforcement Guide on Indicators of Sex Trafficking in Online Escort Ads Law Enforcement Pocket Guide on Indicators of Sex Trafficking in Online Escort Ads
This project had three parts:
Fieldwork sites included:
Indicators that Predicted Sex TraffickingWe tested 27 potential indicators derived from the literature, focus groups, interviews, and fieldwork. Four indicators emerged as strongly predictive of sex trafficking when compared to ads for consensual sex work, controlling for the effects of other indicators that might be in the ad:
![]() “Looking young.” One photo indicator was statistically significant – the subject looking young – but not as expected. This indicator occurred in three to four times as many non-trafficking or outcome unknown ads as trafficking ads, the opposite pattern expected by investigators. Minors are often made to look over 18 using cosmetics and older individuals may use filters to look younger. Furthermore, photos do not always match the person advertised. Given that one of the top indicators cited by investigators when deciding which ads to pursue is whether the subject in the photo “looks young,” this should prompt a re-thinking of using “youthful appearance” as a decision criterion. When controlling for other indicators and tested against ads known not to be part of a trafficking case, several commonly-used indicators were not statistically significant predictors of trafficking. Some of these included a stated age under 23, controlled movement language, and movement language. In most instances, these results bore out our consensual sex worker group input that these indicators can serve unrelated marketing purposes or might indicate a consensual provider asserting control over terms of engagement. For more information, download this Research brief. Indicators of Sex Trafficking in Online Escort Ad – Executive Summary Indicators of Sex Trafficking in Online Escort Ad – Final Report Recommendations for Use with Other EvidenceFew indicator combinations (interactions) yielded results that would support their inclusion in statistical models using our data. However, there are indicator combinations – especially cross-ad dynamics combined with external, non-ad evidence – that may be more suggestive of trafficking than any single indicator. For example:
This information is intended as a tool that investigators can use to narrow their focus when seeking to identify potential trafficking victims in escort ads. While we hope our results provide useful information for initial victim identification by both investigators and by web scraper administrators and algorithm developers that support them, this information is best used in conjunction with other evidence to more accurately determine whether a case involves human trafficking. Investigators should also look at other online venues that have increased in popularity with the shutdown of Backpage in 2018 and in response to COVID-19 impacts on the nature of commercial sex activity. These include the movement of some activity further online into video sites or more open solicitation on social media that may begin with public posts and move to encrypted private chatrooms and messaging. Future research should extend this work to test its applicability to content on these platforms and in studies with larger data sets of ads associated with confirmed cases. Interested in joining the conversation? Come join us on our discussion boards, where you can talk to colleagues and the researchers about this important topic. For more information, contact Kristina Lugo‑Graulich at [email protected]. This work was produced under grant number 2017-MU-CX-0005 awarded by the National Institute of Justice, Office of Justice Programs, U.S. Department of Justice. The opinions, findings, and conclusions or recommendations expressed in this presentation are those of the contributors and do not necessarily represent the official position or policies of the U.S. Department of Justice. © 1998, Justice Research and Statistics Association (JRSA). All rights reserved. 1000 Vermont Avenue, NW, Suite 450, Washington, DC 20005 email: For technical issues about the website, contact webmaster Notice of Federal Funding and Federal Disclaimer Home | SACs | ISAR | Publications | Resources | Projects | Events | Contact Us | Site Map |