These texters were continuously using Crisis Text Line's services as a long-term "replacement for therapy," which prompted the development of systems to identify these "circling texters" and to address the imbalance in resource application. Crisis Text Line uses a triaging algorithm to identify texters who are at most imminent risk for suicide. Conversations that contain high-risk words and phrases are marked by the triage system and moved to the front of the texting queue, allowing Crisis Counselors to immediately respond to high-risk texters in under 5 minutes even during high-volume times. Crisis Text Line also uses an algorithm to predict spikes in texting volume. This technology enables spikes to be detected 6-8 times faster, allowing for quicker staffing of Crisis Counselor volunteers on the platform. According to the data found on Crisistrends.org, approximately 75% of texters are less than 25 years old and encompass a wide variety of demographics. 19% of texters are from the 10% lowest-income zip codes in the United States, and 14% of texters identify as Hispanic/Latinx. In December 2015, Crisis Text Line releasing data indicating that bullying and harassment against Muslims was on the rise. They experienced a noteworthy increase in volume immediately after Donald Trump's election as President of the United States. There was also a spike in conversations that dealt with issues such immigration, sexual assault, and LGBTQ+ rights during this time period. "The Wall Street Journal" reported on Crisis Text Line's data about prom-related crises, noting that financial concerns were the most prevalent cause of prom-related conversations with the service. Analysis of the service's data around military texters revealed that active duty service members and veterans make up 2.4% of texters, and that these texters are more likely to be struggling with suicidal ideation or substance abuse. Crisis Text Line's data also reveals that sadness is more likely to be reported in conversations around the summertime, particularly with LGBTQ+ texters who may be returning home to "unaccepting families." This is indicated by the frequent use of words such as "lesbian, virginity, and dumped."