How can AI be used to improve the details and concreteness of articles?

AI significantly enhances article detail and concreteness through natural language processing and generative capabilities. It identifies vague statements and suggests specific data, examples, or sensory descriptions to augment content richness. Key mechanisms involve analyzing text structure to pinpoint areas needing elaboration, utilizing knowledge bases for relevant factual enrichment, and generating contextually appropriate expansions while maintaining semantic coherence. Effectiveness hinges on prompt specificity, robust pre-training data coverage of the topic, and human oversight to ensure accuracy and relevance. Crucially, AI serves as an augmentation tool, not a replacement for authorial judgment, particularly concerning nuanced originality and factual verification. Implementation involves: authors flagging target sections; AI providing multiple concrete suggestions (e.g., statistics, analogies, vivid verbs); human selection and refinement of suitable options; iterative refinement based on feedback. This process demonstrably strengthens evidence presentation, reader engagement, and argument clarity across academic, journalistic, and technical writing.