How can I use AI to help me detect duplicate content in my thesis?

AI-powered software can effectively detect duplicate content in academic theses by comparing submitted text against vast databases of published material. These tools employ computational methods to identify overlapping sections. Key mechanisms include sophisticated pattern recognition algorithms that scan for textual similarities, extensive database indexing covering academic journals, books, and web pages, and quantitative similarity scoring indicating potential overlaps. Crucially, users must verify tool access to subscription databases relevant to their field and understand similarity indices: significant percentages warrant scrutiny, while properly cited quotations and bibliographies naturally elevate scores. Manual interpretation of the flagged passages remains essential to distinguish acceptable reuse from plagiarism. Implement this by: 1) selecting a reputable AI plagiarism detection service like Turnitin or Grammarly; 2) uploading your thesis document; 3) reviewing the detailed similarity report generated, which highlights matched text and sources; 4) meticulously examining each flagged instance to ensure originality and correct citation. This process safeguards academic integrity by identifying inadvertent copying before submission.