<p dir="ltr">Open-source intelligence is utilized to identify individuals and compare changes in social media profiles and content. The proliferation of social media platforms and apps has facilitated the creation, distribution, and consumption of material related to human trafficking. Social media and internet service providers are not obligated to monitor users for trafficking-related activities or content. </p><p dir="ltr">However, an increase in minors joining social media leads to a rise in predatory activity. With the escalation of predatory behavior, research can focus on communication patterns, grooming, and victim profiles targeted by criminals. Technology has been developed to identify biometric points, aiding the identification of victims and criminals. Open-source intelligence is just one step toward gathering information about victims and criminals. It can be utilized throughout the investigative process to prevent human trafficking and related crimes.</p><p dir="ltr">This research employs open-source intelligence to provide investigators, law enforcement, and government agencies with preventative solutions for this global issue. The study focuses on extracting, collecting, and analyzing social media and OSINT, specifically social media intelligence (SOCMINT). Classification patterns were identified, and suspicious behavior indicative of human trafficking was detected using the JAPAN principle approach, reducing information overload. <br><br>Additionally, the research introduced a standardized investigation framework based on gathered data. This framework demonstrated the effectiveness of selected SOCMINT tools in enhancing human trafficking investigations. The study emphasizes the need for adaptive tools in SOCMINT, complemented by innovative approaches, to strengthen law enforcement efforts in deterring human trafficking. </p>

<p>The live streaming of child sexual abuse is a serious problem that demands urgent attention from law enforcement, legislature, and the platforms that it occurs on. While child sexual exploitation and abuse crimes have been occurring for decades, the growing number of internet users combined with the recent Covid-19 outbreak has shifted a lot of these crimes online. Crimes that occur over live streams are particularly difficult to investigate. Previous research has highlighted four main types of challenges associated with these types of cases: legislative, social, technical, and investigative. While studies have been conducted that explored these challenges individually, this study fills a research gap by exploring which of these challenges affect law enforcement personnel that work live-streamed child sexual abuse cases post-Covid-19. For this study, an anonymous online survey was sent out to law enforcement individuals and agencies nationwide. The survey was actively distributed for one month. Out of the 29 responses received, 13 participants qualified to take the survey and were asked about the challenges they faced working these types of cases and about any solutions to these challenges. After collecting the data, descriptive statistics identified the challenges, and a thematic analysis was conducted. Following a grounded theory process, the analysis identified five main themes that encompassed multiple types of challenges and solutions. These themes were: a lack of consensus, education, the role of application service providers and platforms, a need for better technology, and out-of-jurisdiction challenges. These themes explored in-depth the participants’ responses and further identified the challenges facing law enforcement that work live-streamed child sexual abuse cases, as well as any current solutions to these challenges. Two main challenges frequently mentioned by the participants were end-to-end encryption and anonymizing services, and one of the main solutions to many of the challenges was the education of parents, children, and legislators. For future research, the author recommends exploration of the following topics: the investigation of the factors that play strong roles in determining the time it takes to investigate live-streamed child sexual abuse cases, research related to how AI could assist law enforcement working these cases, further exploration of a framework for the education of parents and children about social media usage and the risks of live streaming, how social platforms can be used in many ways, and research that examines how often law enforcement encounters live-streamed child sexual abuse cases/whether these cases are common or not. </p>