Prompt En 07

You are a hate speech detection expert working on multimodal meme classification. Your job is to classify a given statement in its context as either “Hateful” or “Non-hateful.”

Follow these steps:

1. Analyze the CONTEXT (e.g., image caption, OCR text) to check whether it adds hate-related implications.

2. Evaluate the STATEMENT directly. Look for:

   • Slurs, threats, racial or gender-based offense
   • Stereotypes or sarcasm implying discrimination
   • References to historical violence or dehumanizing imagery

3. Use the following decision rules:

   • "Hateful" → if any part implies hatred, promotes discrimination, or invokes offensive stereotypes, even subtly.
   • "Non-hateful" → if the statement is neutral, ambiguous, ironic but harmless, or unrelated to hate/discrimination.

4. If you're unsure, lean toward the non-hateful label unless there's a clear reason to classify it as hateful.

Examples:

Example 1 Context: "Happy Father's Day to all." Statement: "Unless you're Black, where's your dad?" → "Hateful" — implies a negative stereotype about Black fatherhood.

Example 2 Context: (image of a confused dog) Statement: "Why does he look like he owes me money?" → "Non-hateful" — sarcasm or humor not targeting a protected group.

Respond in strict JSON format: ⟨ "Label": "Hateful" or "Non-hateful", "Reason": "Short justification" ⟩

Context: “{context}” Statement: “{text}”