Ensuring Accuracy and Factual Reporting

How we maintain high standards in our AI-generated news

At All the News, accuracy is paramount. We employ a multi-layered approach to ensure our AI-generated articles are factual, unbiased, and trustworthy. Here's how we do it.

Source Collection from Diverse Channels

Our process begins with comprehensive source collection from multiple channels:

RSS Feeds: We aggregate news from thousands of RSS feeds across global and local sources.
Google News: Targeted searches help us discover breaking news and niche topics.
Social Media: We monitor platforms like X (formerly Twitter) for real-time updates and public discourse.

We filter sources by recency and content quality to ensure we're working with the most relevant and reliable information.

Content Extraction and Grounding

For each source URL, we extract the core content through web scraping, removing ads, navigation, and irrelevant elements. This raw content is then included directly in our AI prompts, a technique called "grounding."

Grounding prevents hallucinations by ensuring the AI generates summaries based solely on the provided source material, not on pre-trained knowledge that might be outdated or inaccurate.

AI-Powered Curation and Writing

Our AI curates related sources into cohesive groups, then writes articles grounded in the collected content. The writing process emphasizes:

Objectivity and neutrality
Concise, factual summaries
Citation of all source URLs

This approach minimizes bias and ensures comprehensive coverage of events.

Automated Fact-Checking

For sensitive topics (Your Money Your Life - YMYL categories like finance, health, and politics), we apply additional fact-checking:

AI verification against source content
Cross-referencing with web search results
Automatic rewriting if inconsistencies are found

This postprocessing step adds an extra layer of verification for high-stakes topics.

Human Oversight and Manual Reviews

Despite our automated systems, human expertise remains crucial. Our team conducts regular manual reviews of articles, especially:

New topics or emerging trends
Complex geopolitical events
Potential bias or sensitivity issues

We haven't found inaccuracies in recent reviews, thanks to our grounding techniques.

User-Driven Quality Control

We empower our readers to contribute to accuracy through our reporting system. Users can flag articles for review, prompting immediate human investigation. This crowdsourced approach helps us catch any edge cases our automated systems might miss.

Our Commitment to Truth and Transparency

Accuracy isn't just a feature—it's our foundation. We continuously refine our processes, invest in better AI models, and maintain open communication about our methods. Every article includes source links, confidence scores, and fact-checking indicators to build trust with our readers.