Media Frames Corpus: News Framing Annotation

# Media Frames Analysis
# Based on Card et al., ACL 2015
# Paper: https://aclanthology.org/P15-1061/
# Dataset: https://github.com/dallascard/media_frames_corpus
#
# This task asks annotators to identify how news articles frame policy
# issues. Media framing refers to the way information is presented to
# influence how audiences interpret issues. The frame taxonomy covers
# 14 dimensions commonly used in political communication research.
#
# Frame Dimensions:
# - Economic: Costs, benefits, financial impact
# - Capacity and Resources: Availability of resources, infrastructure
# - Morality: Religious, ethical, or moral perspective
# - Fairness and Equality: Equal treatment, discrimination, rights
# - Legality: Legal aspects, constitutionality, court rulings
# - Policy: Specific policies, regulations, legislative proposals
# - Crime and Punishment: Criminal activity, enforcement, penalties
# - Security: National security, public safety, threats
# - Health: Public health, medical, wellness perspectives
# - Quality of Life: Well-being, lifestyle, community impact
# - Cultural Identity: Cultural values, heritage, national identity
# - Public Opinion: Polls, public sentiment, popularity
# - Political: Political strategy, partisanship, elections
# - External Regulation: International bodies, foreign policy, treaties
#
# Annotation Guidelines:
# 1. Read the news paragraph and note the topic and source
# 2. Select all applicable framing dimensions
# 3. Classify the overall stance toward the issue
# 4. Provide a brief justification for your frame selections

annotation_task_name: "Media Frames Analysis"
task_dir: "."

data_files:
  - sample-data.json

item_properties:
  id_key: "id"
  text_key: "text"

output_annotation_dir: "annotation_output/"
output_annotation_format: "json"

port: 8000
server_name: localhost

annotation_schemes:
  # Step 1: Select applicable framing dimensions
  - annotation_type: multiselect
    name: frame_dimensions
    description: "Which framing dimensions are present in this text? (select all that apply)"
    labels:
      - "Economic"
      - "Capacity and Resources"
      - "Morality"
      - "Fairness and Equality"
      - "Legality"
      - "Policy"
      - "Crime and Punishment"
      - "Security"
      - "Health"
      - "Quality of Life"
      - "Cultural Identity"
      - "Public Opinion"
      - "Political"
      - "External Regulation"
    tooltips:
      "Economic": "Discusses costs, benefits, economic impact, or financial considerations"
      "Capacity and Resources": "Focuses on availability of resources, infrastructure, or logistical capacity"
      "Morality": "Frames the issue in religious, ethical, or moral terms"
      "Fairness and Equality": "Discusses equal treatment, discrimination, rights, or justice"
      "Legality": "Addresses legal aspects, constitutionality, court decisions, or law enforcement"
      "Policy": "Discusses specific policies, regulations, or legislative proposals"
      "Crime and Punishment": "Frames the issue around criminal activity, enforcement, or penalties"
      "Security": "Focuses on national security, public safety, or threats"
      "Health": "Discusses public health, medical impact, or wellness"
      "Quality of Life": "Addresses well-being, lifestyle, or community impact"
      "Cultural Identity": "Discusses cultural values, heritage, or national identity"
      "Public Opinion": "References polls, public sentiment, or popular support"
      "Political": "Focuses on political strategy, partisanship, or electoral implications"
      "External Regulation": "Discusses international bodies, foreign policy, or treaties"

  # Step 2: Classify the stance
  - annotation_type: radio
    name: stance
    description: "What is the overall stance of this text toward the issue?"
    labels:
      - "Pro-Issue"
      - "Anti-Issue"
      - "Neutral"
    keyboard_shortcuts:
      "Pro-Issue": "1"
      "Anti-Issue": "2"
      "Neutral": "3"
    tooltips:
      "Pro-Issue": "The text supports or advocates for the issue, policy, or position being discussed"
      "Anti-Issue": "The text opposes or argues against the issue, policy, or position being discussed"
      "Neutral": "The text presents the issue without clear advocacy for or against"

  # Step 3: Provide frame justification
  - annotation_type: text
    name: frame_justification
    description: "Briefly explain why you selected the frame dimensions above"

annotation_instructions: |
  You will be shown paragraphs from news articles about policy issues. Your task is to:
  1. Identify which framing dimensions are present. Multiple frames can co-occur.
  2. Classify whether the text is pro-issue, anti-issue, or neutral.
  3. Provide a brief justification for your frame selections.

  Media frames shape how readers interpret issues. Look for the underlying perspective
  or emphasis the article uses, not just the topic itself.

html_layout: |
  <div style="padding: 15px; max-width: 800px; margin: auto;">
    <div style="display: flex; gap: 8px; margin-bottom: 12px;">
      <span style="background: #e0e7ff; color: #3730a3; padding: 3px 10px; border-radius: 12px; font-size: 13px;">Topic: {{topic}}</span>
      <span style="background: #f3e8ff; color: #7e22ce; padding: 3px 10px; border-radius: 12px; font-size: 13px;">Source: {{source}}</span>
    </div>
    <div style="background: #f8fafc; border: 1px solid #e2e8f0; border-radius: 8px; padding: 16px; margin-bottom: 16px;">
      <p style="font-size: 16px; line-height: 1.7; margin: 0;">{{text}}</p>
    </div>
  </div>

allow_all_users: true
instances_per_annotator: 50
annotation_per_instance: 2
allow_skip: true
skip_reason_required: false