Hate Incident Community Tracker

They say it's isolated incidents. Track it, and the pattern becomes undeniable.

Pressure addressed: psychological, displacement

Time: Ongoing data collection

People: Coordinators, community reporters, analyst

Resources: Reporting system, analysis capacity, secure storage

About this tool

After every attack, they say 'isolated incident.' A disturbed individual. Not reflective of broader problems. Nothing to see here. The Tracker proves them wrong. Systematic documentation of every incident, reported to police or not. Location. Time. Target. Type. Over time, patterns emerge. Certain areas. Certain times.

How to do it

  1. Create simple reporting

    Phone line, web form, WhatsApp, whatever your community uses. Make it easy. Anonymous option essential.

  2. Train community reporters

    What information matters? How to document safely? When to escalate?

  3. Standardise categories

    Consistent classification enables pattern analysis. Verbal harassment, property damage, physical assault, online targeting, etc.

  4. Analyse regularly

    Monthly patterns. Geographic clusters. Escalation sequences. Share findings with community.

  5. Connect to response

    Early warning when patterns suggest escalation. Advocacy when data supports demands. Legal cases when evidence is strong.

Before you start

  • Reporting system
  • Community trust
  • Analysis capacity

Implementation guidance

Starting point

  • Easy reporting with anonymous option
  • Trained community reporters across area
  • Standardised categorisation
  • Regular analysis published
  • Early warning system for escalation
  • Connection to advocacy and legal response

Building on it

  • Basic reporting system
  • Some trained reporters
  • Periodic analysis

Advanced practice

  • Sporadic reporting
  • No analysis
  • Data sitting unused

Tracking without analysis wastes reporter effort and community trust. Data without action confirms helplessness. Identifying patterns without early warning means watching escalation you could have prevented.

Examples

Tell MAMA (UK)

National anti-Muslim hate monitoring

Data has revealed patterns invisible in official statistics, informed policy advocacy, and provided evidence for media coverage

Source

Stop AAPI Hate (USA)

Community reporting of anti-Asian incidents during COVID

Documented 10,000+ incidents, informing federal policy response and demonstrating scale of problem

Source

Further resources