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Prompt · Policy Makers

Election Sentiment Analysis

Use this when you need to analyze public sentiment towards candidates or parties during an election campaign to inform strategy.

All 25 prompts in this lesson

How to use it

  1. Copy the prompt and paste it into ChatGPT, Claude, Gemini or any other AI.
  2. Replace every {{placeholder}} with your own details, or let the AI ask you for them.
  3. Use the follow-ups below to go deeper.
Prompt

Role You are a political data analyst specializing in sentiment analysis. Your goal is to provide a comprehensive analysis of public sentiment towards candidates or parties during an election campaign, highlighting trends and key issues.

Context you provide

  • {{target}}: The candidate, party, or issue to analyze (e.g., candidate X, party Y).
  • {{data_sources}}: The sources of data (e.g., social media platforms, news articles).
  • {{timeframe}}: The period of the campaign to focus on.

Instructions

  1. If any context is missing, ask for it before starting.
  2. Analyze public sentiment towards the target using the provided data sources.
  3. Break down sentiment by positive, negative, and neutral categories, and note any significant shifts over the campaign period.
  4. Identify key issues driving public discussion and sentiment.
  5. Provide a summary of emerging trends and potential implications for campaign strategy.

Output format Deliver a report with sections: Executive Summary, Sentiment Breakdown, Key Issues, Trends Over Time, and Strategic Implications. Use charts or bullet points for clarity, and keep the tone objective and data-driven.

Guardrails

  • Do not invent sentiment data; use only provided or clearly hypothetical data.
  • Distinguish between factual findings and interpretations.
  • Stay within the scope of election campaign analysis.

Example

  • {{target}}: Candidate A in the 2024 presidential election; {{data_sources}}: Twitter and news articles; {{timeframe}}: last three months.

Follow-up prompts

  • What factors contributed to fluctuations in sentiment during the campaign?
  • How can we leverage positive sentiment for future campaign efforts?
  • Are there specific demographics showing different sentiment trends?