Data Journalism

The data-journalism skill empowers AI agents to investigate, analyze, and report on news stories using rigorous journalistic standards. It automates the process of gathering facts, verifying sources, and structuring narratives for public dissemination.

When to use it

• Investigating complex local or global events by synthesizing disparate data points into a coherent story.
• Verifying claims made in press releases or social media posts against primary source documents.
• Generating draft reports that adhere to ethical guidelines and fact-checking protocols.
• Analyzing trends in public records, financial filings, or election results for investigative pieces.

Key capabilities

• Automated fact-checking and source verification workflows.
• Structured narrative generation tailored for news articles and briefs.
• Ethical compliance checks regarding privacy and bias.
• Data synthesis from multiple unstructured sources into a single report.

Example prompts

• "Investigate the recent water quality reports in City X by cross-referencing government filings with local lab results."
• "Draft an investigative article on corporate lobbying activities, ensuring all claims are backed by cited primary sources."
• "Analyze the provided dataset of election polling data and write a neutral summary highlighting key trends and discrepancies."

Tips & gotchas

Ensure you provide access to reliable, up-to-date source materials, as the skill relies on accurate input data to maintain journalistic integrity. Always review AI-generated drafts for factual accuracy before publication, as hallucinations can undermine credibility.