Guides5 min de lecture
Configuration de l'annotation pour la modération de contenu
Configurez Potato pour la détection de toxicité, la classification des discours haineux et l'étiquetage de contenu sensible en tenant compte du bien-être des annotateurs.
Potato Team
L'annotation de modération de contenu nécessite une attention particulière au bien-être des annotateurs, des consignes claires pour le contenu subjectif et un contrôle qualité robuste. Ce guide couvre les bonnes pratiques pour la classification de contenu toxique.
Bien-être des annotateurs
L'exposition à du contenu nuisible peut affecter la santé mentale des annotateurs. Mettez en place des mesures protectrices :
Configuration du bien-être
yaml
surveyflow:
on: true
order:
- pre_annotation
pre_annotation:
- "surveyflow/content_warning.jsonl"Floutage du contenu
yaml
max_annotations_per_user: 100Classification de la toxicité
Toxicité multi-niveaux
yaml
annotation_schemes:
- annotation_type: radio
name: toxicity_level
description: "Rate the toxicity level of this content"
labels:
- name: "Not toxic"
tooltip: "No harmful content"
- name: "Mildly toxic"
tooltip: "Rude or insensitive but not severe"
- name: "Moderately toxic"
tooltip: "Clearly offensive or harmful"
- name: "Severely toxic"
tooltip: "Extremely offensive, threatening, or dangerous"Catégories de toxicité
yaml
annotation_schemes:
- annotation_type: multiselect
name: toxicity_types
description: "Select all types of toxicity present"
labels:
- name: "Profanity or obscenity"
tooltip: "Swear words, vulgar language"
- name: "Insults"
tooltip: "Personal attacks, name-calling"
- name: "Threats"
tooltip: "Threats of violence or harm"
- name: "Hate speech"
tooltip: "Targeting protected groups"
- name: "Harassment"
tooltip: "Targeted, persistent hostility"
- name: "Sexual content"
tooltip: "Explicit or suggestive content"
- name: "Self-harm or suicide"
tooltip: "Promoting or glorifying self-harm"
- name: "Misinformation"
tooltip: "Demonstrably false claims"
- name: "Spam or scam"
tooltip: "Unwanted promotional content"Détection des discours haineux
Groupes ciblés
yaml
annotation_schemes:
- annotation_type: multiselect
name: target_groups
description: "Which groups are targeted? Leave empty if this is not hate speech"
labels:
- name: "Race or ethnicity"
- name: "Religion"
- name: "Gender"
- name: "Sexual orientation"
- name: "Disability"
- name: "Nationality or origin"
- name: "Age"
- name: "Other protected group"Gravité du discours haineux
yaml
annotation_schemes:
- annotation_type: radio
name: hate_severity
description: "Severity of hate speech"
labels:
- name: "Implicit"
tooltip: "Coded language, dog whistles"
- name: "Explicit, mild"
tooltip: "Clear but not threatening"
- name: "Explicit, severe"
tooltip: "Dehumanizing, threatening, or violent"Modération contextuelle
Règles spécifiques à la plateforme
yaml
annotation_schemes:
- annotation_type: radio
name: context_appropriate
description: "Is this content appropriate for the platform context?"
labels:
- name: "Appropriate for context"
- name: "Borderline"
- name: "Inappropriate for context"
- annotation_type: text
name: context_notes
description: "Explain your contextual reasoning"
multiline: true
rows: 3Détection de l'intention
yaml
annotation_schemes:
- annotation_type: radio
name: intent
description: "What is the apparent intent?"
labels:
- name: "Genuine attack"
tooltip: "Intent to harm or offend"
- name: "Satire or parody"
tooltip: "Mocking toxic behavior"
- name: "Quote or report"
tooltip: "Reporting or discussing toxic content"
- name: "Reclaimed language"
tooltip: "In-group use of slurs"
- name: "Unclear intent"Modération de contenu d'images
Classification du contenu visuel
yaml
annotation_schemes:
- annotation_type: multiselect
name: image_violations
description: "Select all policy violations"
labels:
- name: "Nudity or sexual content"
- name: "Graphic violence"
- name: "Gore or disturbing content"
- name: "Hate symbols"
- name: "Dangerous acts"
- name: "Child safety concern"
priority: critical
escalate: true
- name: "No violations"
- annotation_type: radio
name: action_recommendation
description: "Recommended action"
labels:
- name: "Approve"
- name: "Age-restrict"
- name: "Add warning label"
- name: "Remove"
- name: "Escalate to specialist"Contrôle qualité
yaml
# Items with known labels, mixed into the regular queue
gold_standards:
enabled: true
items_file: data/moderation_gold.json
mode: mixed
frequency: 20
accuracy:
min_threshold: 0.7
evaluation_count: 10
# Three judgements on every item
num_annotators_per_item: 3
# Disagreements go to a specialist queue
adjudication:
enabled: true
adjudicator_users:
- trust_safety_lead
min_annotations: 3
agreement_threshold: 0.67
require_notes_on_override: true
show_agreement_scores: trueConfiguration complète
yaml
annotation_task_name: "Content Moderation"
task_dir: "."
output_annotation_dir: "annotations/"
data_files:
- "data/reports.json"
item_properties:
id_key: id
text_key: text
num_annotators_per_item: 3
annotation_schemes:
- annotation_type: radio
name: toxicity
description: "Toxicity level"
labels:
- name: "None"
- name: "Mild"
- name: "Moderate"
- name: "Severe"
- annotation_type: multiselect
name: categories
description: "Types of harmful content (select all)"
labels:
- name: "Hate speech"
- name: "Harassment"
- name: "Violence or threats"
- name: "Sexual content"
- name: "Self-harm"
- name: "Spam"
- name: "None"
- annotation_type: likert
name: confidence
description: "How confident are you in this judgment?"
size: 5
min_label: "Uncertain"
max_label: "Very confident"
- annotation_type: text
name: notes
description: "Additional notes (optional)"
multiline: true
rows: 4
export_annotation_format: jsonlBonnes pratiques pour les consignes
Lors de la rédaction de consignes de modération :
- Définissez des seuils clairs : Qu'est-ce qui rend quelque chose "léger" par rapport à "modéré" ?
- Fournissez des exemples : Montrez les cas limites avec des explications
- Tenez compte du contexte : Comment la plateforme/l'audience affecte-t-elle les décisions ?
- Gérez l'ambiguïté : Que faire quand l'intention n'est pas claire
- Mettez à jour régulièrement : Les consignes évoluent avec les nouveaux types de contenu
Soutien aux annotateurs
- Rotation : N'assignez pas la même personne au contenu toxique en continu
- Accès au soutien : Accès facile aux ressources de santé mentale
- Canaux de retour : Permettez aux annotateurs de signaler leurs préoccupations
- Reconnaissance : Reconnaissez la difficulté du travail
Documentation complète sur Schémas d'annotation.