10 Oct
Moderation teams are stretched thin. Hours can be lost sifting through logs or reacting to incidents after harm has occurred. GGWP’s Community Copilot helps teams move from reactive to proactive. Two of our most important detection capabilities: Grooming Alerts and Mental Health Alerts, illustrate what early warning can look like when powered by data and context.
Grooming Alerts: Catching Early Signs Before They Escalate
Traditional grooming investigations often start late, after clear evidence appears. In an effort to be thorough, moderators often manually review full chat histories—an effort that took one of our customers up to five days in one instance. Because the process can be so time-intensive, investigations often wait until the behavior has already escalated.
GGWP’s Grooming Alerts change that workflow.
- The system detects early patterns such as repeated age solicitation or flirtatious messaging before the behavior moves to requests for personal details, photos, or off-platform communication.
- Alerts appear directly in the dashboard, organized for review. Moderators can prioritize the highest-risk users and act quickly.
- Each case can maintain a continuous evidence file. When new chat data arrives, it adds to the same record, preventing duplicate work and preserving investigative context across multiple moderators.
- Evidence can be exported in a consistent format for internal documentation or escalation to external authorities.
The result: teams spend less time searching and more time intervening early according to their internal policies.
Mental Health Alerts: Supporting Users Before a Crisis
The Mental Health Alert system takes the same early-detection approach but focuses on wellbeing. It identifies potential signs of self-harm, suicide ideation, or distress and extends beyond those to indicators of broader mental health challenges.
Detection categories include:
- Self-harm or suicidal language
- Domestic conflict or relationship distress
- Education and financial stress
- Prolonged patterns of hopelessness or emotional withdrawal
Like Grooming Alerts, the system evaluates both recent and historical user behavior to recognize recurring signs of risk. When concerning messages appear, they are grouped and scored by severity. This allows moderation or safety teams to prioritize outreach and connect users with support resources according to their brand’s internal policies, or escalate through established protocols.
A Unified Approach to Safety and Care
Both alerts operate within the GGWP Community Copilot framework, using risk scores to help moderators focus on the most urgent cases. More importantly, they make safety work sustainable by reducing repetitive manual review and improving coordination across teams.
Whether protecting users from predatory behavior or identifying someone in distress, early detection changes outcomes. These features show how automation and context can extend a moderator’s reach, keeping communities safer and healthier.