We're introducing comprehensive anti-harassment tools to protect our community. Everyone deserves a safe online experience, and today we're taking significant steps to make that a reality with our most advanced safety features yet.
Online harassment remains a critical challenge. Recent research shows that 46% of U.S. teens reported experiencing at least one form of cyberbullying in 2022, and UNICEF surveys found that 1 in 3 young people globally have been bullied online. These aren't just statistics—they represent real people whose digital experiences have been marred by harassment, intimidation, and abuse.
At Tanqory, we believe technology that brings people together must also protect them. That's why we've developed a comprehensive suite of AI-powered anti-harassment tools designed to detect, prevent, and respond to harmful behavior before it escalates.
Advanced AI-Powered Protection
Intelligent Content Detection
Our machine learning models continuously monitor for harmful content using state-of-the-art deep learning techniques:
- Real-Time Analysis: Every message, comment, and post is analyzed instantly using neural networks trained on millions of examples of harmful content
- High Accuracy: Our ensemble models combining Naïve Bayes, Random Forest, and XGBoost achieve 92% accuracy in identifying harassment, hate speech, and offensive messages
- Context-Aware: The system understands nuance, context, and cultural differences to minimize false positives while catching genuine threats
- Multilingual Support: Detection works across 50+ languages, ensuring global protection
Deepfake and Synthetic Media Detection
As AI-generated harassment becomes more sophisticated, our defenses have evolved:
- Detection of AI-generated deepfake videos and images used for harassment
- Voice-cloning identification to prevent impersonation attacks
- Bot-driven harassment campaign detection and prevention
- Algorithmically generated hate speech identification
Behavioral Pattern Analysis
We go beyond individual messages to identify concerning patterns:
- Repeat Offender Detection: Track users who consistently engage in harassment across the platform
- Coordinated Harassment: Identify and stop organized harassment campaigns involving multiple accounts
- Escalation Monitoring: Recognize when interactions are becoming more hostile and intervene early
- At-Risk User Identification: Proactively identify users who may be experiencing sustained harassment
Comprehensive Safety Tools
Enhanced Block & Report System
We've completely redesigned our reporting interface to make it faster and more effective:
- One-Tap Reporting: Report harassment in seconds without leaving the conversation
- Detailed Categories: Specify the type of harassment (bullying, threats, hate speech, sexual harassment, etc.)
- Evidence Capture: Automatically preserve screenshots and context for review
- Priority Escalation: Serious threats are immediately escalated to human moderators
- Follow-Up: Receive updates on the status of your reports
- Anonymous Reporting: Report on behalf of others without revealing your identity
