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コンテンツモデレーションアノテーションの設定
アノテーターのウェルビーイングを考慮した、毒性検出、ヘイトスピーチ分類、センシティブコンテンツラベリングのためのPotato設定方法。
Potato Team
コンテンツモデレーションアノテーションには、アノテーターのウェルビーイングへの配慮、主観的なコンテンツに対する明確なガイドライン、堅牢な品質管理が必要です。このガイドでは、有害コンテンツ分類のベストプラクティスを説明します。
アノテーターのウェルビーイング
有害コンテンツへの暴露はアノテーターのメンタルヘルスに影響を与える可能性があります。保護措置を実施しましょう:
ウェルビーイング設定
yaml
surveyflow:
on: true
order:
- pre_annotation
pre_annotation:
- "surveyflow/content_warning.jsonl"コンテンツのぼかし
yaml
max_annotations_per_user: 100毒性分類
マルチレベル毒性
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"毒性カテゴリ
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"ヘイトスピーチ検出
ターゲットグループ
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"ヘイトスピーチの重大度
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"文脈的モデレーション
プラットフォーム固有ルール
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: 3意図の検出
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"画像コンテンツモデレーション
ビジュアルコンテンツ分類
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"品質管理
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: true完全な設定
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: jsonlガイドラインのベストプラクティス
モデレーションガイドラインを作成する際:
- 明確な閾値の定義:何が「軽度」で何が「中度」か?
- 例の提供:説明付きのエッジケースを提示
- コンテキストへの対応:プラットフォーム/オーディエンスが判断にどう影響するか?
- 曖昧さの処理:意図が不明確な場合の対処法
- 定期的な更新:新しいコンテンツタイプに合わせてガイドラインを進化
アノテーターのサポート
- ローテーション:同じ人に有害コンテンツを継続的に割り当てない
- サポートへのアクセス:メンタルヘルスリソースへの簡単なアクセス
- フィードバックチャネル:アノテーターが懸念を報告できる場
- 認識:この作業の困難さを認識する
完全なドキュメントはアノテーションスキームをご覧ください。