कंटेंट मॉडरेशन एनोटेशन का सेटअप

wellbeing:
  # Content warnings
  warnings:
    enabled: true
    show_before_session: true
    message: |
      This task involves reviewing potentially offensive content including
      hate speech, harassment, and explicit material. Take breaks as needed.
 
  # Break reminders
  breaks:
    enabled: true
    reminder_interval: 30  # minutes
    break_duration: 5  # suggested minutes
    message: "Consider taking a short break. Your wellbeing matters."
 
  # Session limits
  limits:
    max_session_duration: 120  # minutes
    max_items_per_session: 100
    cooldown_between_sessions: 60  # minutes
 
  # Easy exit
  exit:
    allow_immediate_exit: true
    no_penalty_exit: true
    exit_button_prominent: true
    exit_message: "No problem. Take care of yourself."
 
  # Support resources
  resources:
    show_support_link: true
    support_url: "https://yourorg.com/support"
    hotline_number: "1-800-XXX-XXXX"

display:
  # Blur images by default
  image_display:
    blur_by_default: true
    blur_amount: 20
    click_to_reveal: true
    reveal_duration: 10  # auto-blur after 10 seconds
 
  # Text content warnings
  text_display:
    show_severity_indicator: true
    expandable_content: true
    default_collapsed: true

annotation_schemes:
  - annotation_type: radio
    name: toxicity_level
    description: "Rate the toxicity level of this content"
    labels:
      - name: none
        label: "Not Toxic"
        description: "No harmful content"
 
      - name: mild
        label: "Mildly Toxic"
        description: "Rude or insensitive but not severe"
 
      - name: moderate
        label: "Moderately Toxic"
        description: "Clearly offensive or harmful"
 
      - name: severe
        label: "Severely Toxic"
        description: "Extremely offensive, threatening, or dangerous"

annotation_schemes:
  - annotation_type: multiselect
    name: toxicity_types
    description: "Select all types of toxicity present"
    labels:
      - name: profanity
        label: "Profanity/Obscenity"
        description: "Swear words, vulgar language"
 
      - name: insult
        label: "Insults"
        description: "Personal attacks, name-calling"
 
      - name: threat
        label: "Threats"
        description: "Threats of violence or harm"
 
      - name: hate_speech
        label: "Hate Speech"
        description: "Targeting protected groups"
 
      - name: harassment
        label: "Harassment"
        description: "Targeted, persistent hostility"
 
      - name: sexual
        label: "Sexual Content"
        description: "Explicit or suggestive content"
 
      - name: self_harm
        label: "Self-Harm/Suicide"
        description: "Promoting or glorifying self-harm"
 
      - name: misinformation
        label: "Misinformation"
        description: "Demonstrably false claims"
 
      - name: spam
        label: "Spam/Scam"
        description: "Unwanted promotional content"

annotation_schemes:
  - annotation_type: multiselect
    name: target_groups
    description: "Which groups are targeted? (if hate speech detected)"
 
    labels:
      - name: race_ethnicity
        label: "Race/Ethnicity"
 
      - name: religion
        label: "Religion"
 
      - name: gender
        label: "Gender"
 
      - name: sexual_orientation
        label: "Sexual Orientation"
 
      - name: disability
        label: "Disability"
 
      - name: nationality
        label: "Nationality/Origin"
 
      - name: age
        label: "Age"
 
      - name: other
        label: "Other Protected Group"

annotation_schemes:
  - annotation_type: radio
    name: hate_severity
    description: "Severity of hate speech"
 
    labels:
      - name: implicit
        label: "Implicit"
        description: "Coded language, dog whistles"
 
      - name: explicit_mild
        label: "Explicit - Mild"
        description: "Clear but not threatening"
 
      - name: explicit_severe
        label: "Explicit - Severe"
        description: "Dehumanizing, threatening, or violent"

# Context affects what's acceptable
annotation_schemes:
  - annotation_type: radio
    name: context_appropriate
    description: "Is this content appropriate for the platform context?"
 
    labels:
      - name: appropriate
        label: "Appropriate for Context"
 
      - name: borderline
        label: "Borderline"
 
      - name: inappropriate
        label: "Inappropriate for Context"
 
  - annotation_type: text
    name: context_notes
    description: "Explain your contextual reasoning"

annotation_schemes:
  - annotation_type: radio
    name: intent
    description: "What is the apparent intent?"
    labels:
      - name: genuine_attack
        label: "Genuine Attack"
        description: "Intent to harm or offend"
 
      - name: satire
        label: "Satire/Parody"
        description: "Mocking toxic behavior"
 
      - name: quote
        label: "Quote/Report"
        description: "Reporting or discussing toxic content"
 
      - name: reclaimed
        label: "Reclaimed Language"
        description: "In-group use of slurs"
 
      - name: unclear
        label: "Unclear Intent"

annotation_schemes:
  - annotation_type: multiselect
    name: image_violations
    description: "Select all policy violations"
    labels:
      - name: nudity
        label: "Nudity/Sexual Content"
 
      - name: violence_graphic
        label: "Graphic Violence"
 
      - name: gore
        label: "Gore/Disturbing Content"
 
      - name: hate_symbols
        label: "Hate Symbols"
 
      - name: dangerous_acts
        label: "Dangerous Acts"
 
      - name: child_safety
        label: "Child Safety Concern"
        priority: critical
        escalate: true
 
      - name: none
        label: "No Violations"
 
  - annotation_type: radio
    name: action_recommendation
    description: "Recommended action"
    labels:
      - name: approve
        label: "Approve"
      - name: age_restrict
        label: "Age-Restrict"
      - name: warning_label
        label: "Add Warning Label"
      - name: remove
        label: "Remove"
      - name: escalate
        label: "Escalate to Specialist"

quality_control:
  # Calibration for subjective content
  calibration:
    enabled: true
    frequency: 20  # Every 20 items
    items: calibration/moderation_gold.json
    feedback: true
    recalibrate_on_drift: true
 
  # High redundancy for borderline cases
  redundancy:
    annotations_per_item: 3
    increase_for_borderline: 5
    agreement_threshold: 0.67
 
  # Expert escalation
  escalation:
    enabled: true
    triggers:
      - field: toxicity_level
        value: severe
      - field: image_violations
        contains: child_safety
    escalate_to: trust_safety_team
 
  # Distribution monitoring
  monitoring:
    track_distribution: true
    alert_on_skew: true
    expected_distribution:
      none: 0.4
      mild: 0.3
      moderate: 0.2
      severe: 0.1

annotation_task_name: "Content Moderation"
 
# Wellbeing first
wellbeing:
  warnings:
    enabled: true
    message: "This task contains potentially offensive content."
  breaks:
    reminder_interval: 30
    message: "Remember to take breaks."
  limits:
    max_session_duration: 90
    max_items_per_session: 75
 
display:
  # Blur sensitive content
  image_display:
    blur_by_default: true
    click_to_reveal: true
 
  # Show platform context
  metadata_display:
    show_fields: [platform, community, report_reason]
 
annotation_schemes:
  # Toxicity level
  - annotation_type: radio
    name: toxicity
    description: "Toxicity level"
    labels:
      - name: none
        label: "None"
      - name: mild
        label: "Mild"
      - name: moderate
        label: "Moderate"
      - name: severe
        label: "Severe"
 
  # Categories
  - annotation_type: multiselect
    name: categories
    description: "Types of harmful content (select all)"
    labels:
      - name: hate
        label: "Hate Speech"
      - name: harassment
        label: "Harassment"
      - name: violence
        label: "Violence/Threats"
      - name: sexual
        label: "Sexual Content"
      - name: self_harm
        label: "Self-Harm"
      - name: spam
        label: "Spam"
      - name: none
        label: "None"
 
  # Confidence
  - annotation_type: likert
    name: confidence
    description: "How confident are you?"
    size: 5
    min_label: "Uncertain"
    max_label: "Very Confident"
 
  # Notes
  - annotation_type: text
    name: notes
    description: "Additional notes (optional)"
    rows: 4
 
quality_control:
  redundancy:
  calibration:
  escalation:
 
output_annotation_dir: annotations/
export_annotation_format: jsonl