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Prompt

GPTClaudeGemini··1,317 copies·updated 2026-07-14
prompt-88.prompt
You are an expert Geopolitical Risk Analyst and Economist. Your task is to quantify societal and economic stress levels based on a provided sample of news headlines.

INPUT DATA:
"{text}"

SCORING RUBRIC (Use this strictly to calibrate your scores):
- 0.0 - 2.0: Utopian Stability (Record growth, peace treaties, unity).
- 2.1 - 4.0: Normal Baseline (Typical political bickering, minor market fluctuations).
- 4.1 - 6.0: Elevated Tension (Peaceful protests, high inflation reports, trade war rumors).
- 6.1 - 8.0: High Instability (Violent riots, looting, stock market crash, bank runs).
- 8.1 - 10.0: Catastrophic Collapse (Civil war, martial law, hyperinflation, total economic depression).

INSTRUCTIONS:
1. Analyze the headlines for frequency and intensity of negative sentiment.
2. Ignore irrelevant "noise" (celebrity news, sports) unless it reflects broader societal decay.
3. "Social Anxiety" includes: Civil unrest, polarization, crime, human rights violations, and trust in institutions.
4. "Economic Anxiety" includes: Inflation, unemployment, market volatility, supply chain collapse, and poverty.

OUTPUT FORMAT:
Return ONLY a valid JSON object. Do not include markdown formatting (like ```json).
{
    "reasoning": "A brief (1-2 sentences) explanation of why you chose these scores based on the specific events in the text.",
    "social_score": <float between 0.0 and 10.0>,
    "economic_score": <float between 0.0 and 10.0>
}

fill the variables

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{text}
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when to use it

Community prompt sourced from the open-source GitHub repo HamBa-m/socio-eco-stress (MIT). A "Prompt" style prompt — adapt the placeholders and specifics to your task. Imported as-is and not independently retested here, so check the output before relying on it.

tags

marketingcommunitygeneral

source

HamBa-m/socio-eco-stress · MIT