Content Moderation Framework

1. Overview

Vexor employs a structured, adaptive, and globally scalable moderation ecosystem that integrates automated systems, human expertise, and user-driven feedback. This system is designed to:

• Protect users from harmful, illegal, or exploitative content
• Ensure fast, accurate detection and removal of violations
• Minimize false positives through human review and clear appeals
• Maintain transparency through reporting and metrics
• Comply with global regulatory frameworks (DSA, GDPR, COPPA, Online Safety Act)

2. Moderation Model (Layered & Adaptive)

Vexor’s moderation framework consists of four integrated layers designed for speed, precision, and contextual understanding:

• Pre-Upload / Ingest Filters: Automated scans evaluate video, audio, text, and metadata before content becomes publicly visible. High-risk material is blocked instantly.
• Real-Time Detection: AI continuously analyzes live streams, trending feeds, mass-shared content, and newly uploaded posts for imminent risks.
• User Reporting & Community Signals: User reports, engagement anomalies, and account-trust signals feed into risk scoring and review queues.
• Human Review Teams: Specialist reviewers analyze context, regional nuances, borderline cases, escalation events, and appeal submissions.

3. Automated Detection Systems (AI & ML)

Vexor uses proprietary machine-learning models that undergo continuous training, auditing, and performance validation. Detection capabilities include:

• Computer Vision: Detects nudity, sexual content, graphic violence, weapons, and other imagery risks.
• Speech-to-Text (ASR): Transcribes spoken audio for detection of threats, hate speech, harassment, and self-harm indicators.
• NLP Classification: Analyzes captions, comments, text overlays, and messages for spam, abuse, misinformation, and manipulation.
• Behavioral Modeling: Identifies bots, fake engagement, coordinated inauthentic behavior, and fraudulent actor networks.
• Contextual Metadata: Evaluates posting history, account age, geolocation patterns, device fingerprints, and more.

Automated actions include temporary blocking, limited visibility, or escalation to human review. High-risk categories (CSAM, imminent harm, terrorism) trigger immediate intervention.

4. Human Moderation & Specialist Teams

Human moderators provide contextual judgment and nuanced policy interpretation.

• Tier 1 Reviewers: Rapid triage for clear policy violations or automated flags.
• Tier 2 Specialists: Experts in child safety, hate speech, violent extremism, sexual content, and misinformation.
• Regional Experts: Native speakers who understand local laws, cultural context, and linguistic nuance.
• Safety & Legal Teams: Handle law enforcement escalations, emergency threats, and compliance obligations.

All moderation decisions follow strict workflow documentation, including evidence snapshots, model logs, timestamps, and reviewer rationale.

5. Emergency Response, Escalation & Rapid Action

For imminent risks (e.g., suicide threats, violent threats, extremist acts, CSAM), Vexor activates high-priority protocols that include:

• Immediate removal or restriction of harmful content
• High-speed escalation to senior moderators or legal staff
• Preservation of metadata and logs for law enforcement
• Notification to crisis resources (self-harm content)
• 24/7 emergency contact channel for verified authorities

6. Appeals, Redress & Reinstatement

Users have the right to request human review when content or accounts are removed. The appeals process includes:

• Clear explanation of why the content was removed
• Secondary independent human review
• Outcome transparency and reinstatement where applicable
• Training feedback loops to improve detection accuracy

Appeals can be submitted via the app or by email: appeals@vexor.to.

7. Transparency, Metrics & Reporting

Vexor publishes quarterly and annual transparency reports detailing:

• Content removals by category
• Strike and suspension metrics
• Appeal outcomes
• Law enforcement request statistics
• Automated vs. manual decision ratios

8. Model Evaluation, QA & Bias Mitigation

Vexor evaluates AI systems using:

• Accuracy testing across multilingual datasets
• Precision/recall benchmarking
• Robustness and adversarial testing
• Bias auditing to prevent discrimination
• Human-in-the-loop iterative retraining

9. External Safety Partnerships

Vexor works with global partners to ensure the highest level of safety including:

• Child protection organizations (INHOPE, NCMEC)
• Industry safety forums and trust & safety coalitions
• Academic research labs
• Regulatory oversight bodies (EU, U.S., APAC)

10. Moderator Training & Employee Safety

All moderators undergo:

• Policy certification and annual recertification
• Quality calibration sessions
• Mental health and trauma support programs
• Exposure-control protocols for graphic content

11. Contextual Review Standards

Moderators take into account:

• Newsworthiness and public interest value
• Artistic, satirical, or documentary intent
• Age of individuals involved
• Cultural and linguistic context

12. Policy Integration & Updates

This Framework is aligned with the Community Guidelines, Terms of Service, and global legal obligations. All major updates include a published changelog.

13. User Reporting Tools

Users may report content or accounts through:

• In-app report buttons
• Profile and comment reporting options
• Email submissions to safety@vexor.to

14. Legal Compliance & Evidence Handling

Vexor preserves and discloses data only as required by law. Processes follow the Law Enforcement Request Guide and data privacy regulations.

15. Continuous Improvement & Moderation Roadmap

Future enhancements include:

• More granular regional moderation models
• Enhanced explainability for AI-driven decisions
• Expanded support for additional languages
• Modernized appeals portal with case tracking

16. Contact Information

Safety Team: safety@vexor.to
Appeals: appeals@vexor.to
Law Enforcement: law@vexor.to

17. Policy Updates

This Framework may be updated to align with operational changes, regulatory requirements, and community expectations. Updates are posted with effective dates and revision notes.