How do you moderate
student wellbeing apps?
TalkCampus combines professional Trust & Safety reviewers, AI-assisted detection, and clinical oversight so peer support stays safe around the clock, with full audit trails and policies aligned to major global regulations.
New peer post
24/7
Human-led content review
<1 min
Human Trust & Safety review
<2 min
Clinical response time
24/7
Moderation and clinical cover
Four layers, one continuous safety net
AI speed, human judgment, clinical depth, and transparent reporting work together. Students also get in-app safety tools: trigger warnings, hide, block, snooze, and content filters.
Human-led moderation, AI-assisted
Our Trust & Safety team reviews all content, supported by some of the leading frontier models. AI assists across trust and safety to support human-in-the-loop moderation and prioritisation. AI assists with detection and classification, while our human Trust & Safety team retains decision authority across all content.
Professional Trust & Safety
Trained moderators review every flagged item with human-in-the-loop oversight. The team is trained in coded language detection, behavioural analysis, and community guidelines enforcement, including phased banning and a fair appeals process.
Clinical escalation (I-CARE)
Our I-CARE framework (Identify, Classify, Assess, Respond, Escalate) connects at-risk students to Masters-level clinicians quickly. Every case is logged in our case management system with a full audit trail.
Incident Reporting and Bespoke Protocols
When required, a detailed incident report reaches your college/university through your bespoke escalation protocol, typically within five minutes by phone and email, aligned with your duty-of-care workflows.
Colour-coded triage you can explain to any committee
Moderators see risk at a glance: safe peer content, items under human review, urgent clinical escalations, and resolved outcomes. Every action is preserved for audit and institutional reporting.
7.5s
Human review
<1 min
Human T&S
<2 min
Clinical
<5 min
Institution report
Peer thread · supportive replies only
Clear · no escalation
Coded language pattern · T&S assigned
Review · human in progress
High-risk signal · I-CARE activated
Urgent · clinician paged
Case closed · audit trail complete
University notified · logged
Student will have ongoing support
Closed loop · community safe
Fast screening, human judgment, clinical backup
Students see a welcoming community first. Behind the scenes, Trust & Safety specialists review all content supported by AI, and the I-CARE clinical pathway runs continuously. Over 3,000 trained Peer+ volunteers extend empathy within the same rulebook and escalation rails.
Humans review all content 24/7, supported by multi-model AI for detection and prioritisation
Trust & Safety staff aim to clear flags in under a minute, with training in coded language and behaviour
Clinicians can engage in under two minutes; institutions can receive structured reports in under five
Trusted by 310+ universities
& colleges worldwide
Compliance posture
- ✓ GDPR and CCPA aligned processing and subprocessors
- ✓ SOC 2 and ISO 27001 security programme
- ✓ NIST 800-53 informed technical and administrative controls
- ✓ UK Online Safety Act and EU Digital Services Act readiness built into governance
Infrastructure retains roughly 90% headroom at peak moderation load for resilience during surges.
Knowing that students have round-the-clock support with real-time clinical safeguarding gives us confidence, and it reduces pressure on crisis services.
Sarah Richardson
Head of Wellbeing, University of Derby
Moderation and safety FAQs
What procurement, safeguarding, and IT teams ask before rolling out a moderated peer support platform.
Our Trust & Safety team reviews all content 24/7, supported by multi-model AI that assists with detection and prioritisation. Human reviewers aim to assess posts in under one minute. Clinical specialists can engage in under two minutes when the I-CARE pathway activates. Students are never outside monitored coverage.
Humans review all content, supported by a multi-vendor AI architecture with models from OpenAI, Amazon, and Google operating in parallel. This redundancy improves detection and reduces over-reliance on any single provider. AI assists with prioritisation and detection; humans retain judgment on all decisions.
Trust & Safety staff receive dedicated training in coded language, euphemisms, and behavioural patterns that simple keyword filters miss. AI surfaces anomalies and risk scores; moderators interpret context, thread history, and user behaviour before taking action. Peer+ volunteers (3,000+ trained) operate under the same governance and escalation rules.
Content may be removed, restricted, or escalated depending on severity. Users can hide, block, snooze, apply content filters, and use trigger warnings. Serious risk triggers I-CARE: clinical outreach, safety planning, and, when appropriate, documented reporting to the institution within minutes. Repeat violations follow phased enforcement with appeals.
Yes. TalkCampus is built for GDPR, CCPA, SOC 2, and ISO 27001 alignment, with NIST 800-53 informed controls. We also design processes to meet emerging obligations including the UK Online Safety Act and EU Digital Services Act. Data minimisation, encryption, and auditability are built into the platform and moderation workflows.
Yes. Universities can align escalation contacts, reporting thresholds, and institutional handoffs with their own safeguarding policies while TalkCampus maintains a consistent clinical and safety baseline. Your customer success team works with you to map local requirements into the platform and notification rules.
See TalkCampus moderation in action
Book a demo to walk through our human-led moderation, Trust & Safety workflows, audit trails, and how we map to your institutional policies.