How to avoid similarity in humanize ai writing?

The methods to avoid similarity in humanize ai writing include the following:
Expanding data sources: Attempt to introduce diverse data sources, such as books, papers, reports, etc., to enrich the content and perspectives of AI writing and reduce repetition.
Optimization algorithm:
Improve text parsing ability: Ensure that AI accurately understands input keywords and topics, avoiding misunderstandings or overlooking important information.
Enhance innovation: Introduce rhetorical devices such as metaphor and personification in the writing process to make the article more personalized and unique.
Improving generalization ability: By training AI to process more diverse text, it can enhance its understanding and expression ability when dealing with specific topics.
Manual review and modification: After the AI generates the article, manual review and modification are carried out to identify and correct inaccurate or inappropriate expressions, improving the quality of the article.
Integrating multiple writing styles: combining knowledge and writing styles from different fields to create a unique writing style. For example, interspersing humorous anecdotes in popular science articles or incorporating modern elements into historical stories.
Using a unique perspective and incorporating personal experiences: Try to start from a unique perspective, combining personal experiences and feelings, to make the article full of "human touch" and avoid duplication.
Synonym replacement and word order adjustment: Replace commonly used words in AI generated articles with synonyms, adjust sentence structure, break fixed expression patterns, and reduce repetition rate.
Add unique perspectives and cases: Incorporate your own thoughts and unique insights into the article, combined with practical cases, to make the article more personalized and attractive.
Paragraph splitting and reassembly: Splitting long paragraphs into short paragraphs or reassembling paragraph content to make the article structure more reasonable and avoid being identified as duplicate content by plagiarism detection systems.