Social Chemistry 101 (Social Norms)

# Social Chemistry 101 (Social Norms)
# Based on Forbes et al., EMNLP 2020
# Paper: https://aclanthology.org/2020.emnlp-main.48/
#
# Social Chemistry catalogs rules-of-thumb (RoTs) for social/moral norms.
# Each RoT is annotated across 12 dimensions capturing different aspects
# of social judgment.
#
# Key Concepts:
# - Rule-of-Thumb (RoT): A descriptive norm like "It's rude to be late"
# - Situation: The context that evokes the RoT
# - Action: The specific behavior being judged
#
# 12 Annotation Dimensions:
# 1. Social judgment: Is the action good/bad/expected/unexpected?
# 2. Moral foundations: Care, fairness, loyalty, authority, purity
# 3. Cultural pressure: How strongly does society expect this?
# 4. Legality: Is this legal/illegal?
# 5. Agency: Who should do/avoid the action?
# 6. Anticipated agreement: Would others agree with this judgment?
#
# Annotation Guidelines:
# 1. Consider the SPECIFIC situation, not abstract principles
# 2. Think about what MOST people in your culture would think
# 3. RoTs can conflict - the same action may have multiple valid judgments
# 4. Consider both the action and its consequences

port: 8000
server_name: localhost
task_name: "Social Chemistry - Social Norms"

data_files:
  - sample-data.json
id_key: id
text_key: situation

output_file: annotations.json

annotation_schemes:
  # Step 1: Social judgment
  - annotation_type: radio
    name: judgment
    description: "How would most people judge this action?"
    labels:
      - "Very bad"
      - "Bad"
      - "Expected/okay"
      - "Good"
      - "Very good"
    tooltips:
      "Very bad": "Strongly condemned by society"
      "Bad": "Generally disapproved of"
      "Expected/okay": "Neutral, normal, or expected behavior"
      "Good": "Generally approved of"
      "Very good": "Strongly praised by society"

  # Step 2: Moral foundation
  - annotation_type: radio
    name: moral_foundation
    description: "Which moral foundation does this primarily relate to?"
    labels:
      - "Care/Harm"
      - "Fairness/Cheating"
      - "Loyalty/Betrayal"
      - "Authority/Subversion"
      - "Purity/Degradation"
      - "Liberty/Oppression"
      - "None/Other"
    tooltips:
      "Care/Harm": "About protecting others from harm, showing compassion"
      "Fairness/Cheating": "About justice, rights, reciprocity"
      "Loyalty/Betrayal": "About group membership, patriotism, self-sacrifice"
      "Authority/Subversion": "About respect for tradition, hierarchy, duty"
      "Purity/Degradation": "About cleanliness, sanctity, disgust"
      "Liberty/Oppression": "About freedom, autonomy, avoiding domination"
      "None/Other": "Doesn't clearly map to moral foundations"

  # Step 3: Cultural pressure
  - annotation_type: likert
    name: cultural_pressure
    description: "How strongly does society expect/pressure this behavior?"
    min_value: 1
    max_value: 5
    labels:
      1: "Very weak pressure"
      2: "Weak pressure"
      3: "Moderate pressure"
      4: "Strong pressure"
      5: "Very strong pressure"
    tooltips:
      1: "Society rarely enforces this norm"
      2: "Mild social expectation"
      3: "Moderate social expectation"
      4: "Strong social expectation with consequences"
      5: "Violating this would be severely condemned"

  # Step 4: Legality
  - annotation_type: radio
    name: legality
    description: "Is this action legal or illegal?"
    labels:
      - "Clearly legal"
      - "Legal but regulated"
      - "Gray area"
      - "Illegal (minor)"
      - "Illegal (serious)"
    tooltips:
      "Clearly legal": "No legal issues"
      "Legal but regulated": "Legal with some restrictions"
      "Gray area": "Legal status unclear or varies"
      "Illegal (minor)": "Minor infraction or misdemeanor"
      "Illegal (serious)": "Serious crime or felony"

  # Step 5: Anticipated agreement
  - annotation_type: likert
    name: agreement
    description: "How much would others agree with your judgment?"
    min_value: 1
    max_value: 5
    labels:
      1: "Very controversial"
      2: "Somewhat controversial"
      3: "Mixed opinions"
      4: "Mostly agree"
      5: "Nearly everyone agrees"

allow_all_users: true
instances_per_annotator: 50
annotation_per_instance: 3
allow_skip: true
skip_reason_required: false