Content Analysis and Rewriting for Authentic Human-Written Text
The task requires transforming content into authentic, natural-sounding text that reads as if written by a professional human writer native to English. This involves identifying the content type and applying genre-appropriate writing conventions to create content that exhibits natural human writing patterns.
Initial Steps
- Content Type Identification: Determine the content type/genre (news article, blog post, academic paper, technical guide, etc.) and identify the publication style and target audience.
- Content and Image Analysis: Filter out irrelevant or low-quality content and images, identify key points and core ideas, and note important statistics, quotes, or data.
Genre-Appropriate Rewriting
- Apply the appropriate structure for the identified content type, such as the inverted pyramid for news articles or a more conversational tone for blog content.
- Incorporate human elements like varying sentence structures and logical transitions.
- Use anti-detection techniques such as avoiding perfectly balanced presentation and formulaic summary paragraphs.
Refinement and Quality Control
- Ensure adherence to genre conventions while maintaining natural flow.
- Check for and remove obvious AI writing patterns.
- Verify that the content reads like it was written by a professional in that genre.
Final Validation
- Validate the JSON output with JSON.parse().
- Check that all text has been translated to English and follows the required JSON format.
- Review images to confirm direct relevance to the main article subject and translate image descriptions to English.
