Through more accurate semantic comparisons, the Academic Misconduct Literature Check can effectively support the detection of citation content, automatic content spinning and machine-assisted plagiarism reduction, among other behavioral detections to safeguard academic integrity.
Billing Rules:
0.3 Points/thousand characters, and any part less than a thousand characters is calculated as a full thousand characters.
By comparing the differences in both language models and semantic logic, it can quickly and accurately identify suspected AI-generated content in academic texts including academic papers, dissertations, academic monographs and scientific research achievements.
Billing Rules:
0.4 Points/thousand characters, and any part less than a thousand characters is calculated as a full thousand characters.
Application Scenarios
Degree Thesis Evaluation: Applicable for the detection of coursework, academic year papers, thesis proposals and graduation theses submitted by undergraduate and graduate students.
Academic Achievements and Paper Publishing: Applicable for the detection of journal articles, project reports, conference papers, books and news manuscripts.
Service Advantages
Abundant Resources, Comprehensive Coverage
CNKI boasts a vast array of academic resources with its literature detection and comparison covering a wide range of international and domestic academic journals, dissertations, conference proceedings and newspapers. With daily updates exceeding 50,000 new documents, it ensures comprehensive plagiarism detection.
Advanced Technology, Efficient Detection
CNKI, by leveraging its proprietary core detection technology which has been awarded multiple patents, can accurately identify duplicate content in texts within seconds, significantly enhancing detection efficiency.
Concurrent Chinese and English Detection, Linguistic Barrier-Free
It supports the check of both English texts and Chinese-English mixed-texts, and effectively identifies the AI-generated content.
Diverse Scenarios, Satisfying Demands
The system caters to a wide range of document detection needs, serving common scenarios such as undergraduate and graduate thesis evaluations, academic achievements, and paper publications, thereby meeting diverse user requirements.
User-friendly Operation, Intuitive Results
Users can directly input texts for detection, or upload files in various formats including docx, doc, wps, pdf, txt, caj and other formats to perform quick one-click plagiarism checks. The detection results are presented in a straightforward and objective manner.
Privacy Protection, Security and Reliability
CNKI adheres strictly to relevant laws and user agreements, ensuring user information and document content security through a dual safeguard of technical and management mechanisms. Uploaded documents are stored exclusively on dedicated servers, with automatic deletion after a set period, ensuring full protection of user privacy.
Frequently Asked Questions
What does the literature detection comparison database cover?
The system has established a extensive and comprehensive full-text comparison resource library, featuring rich, professional content, frequent updates, and clear copyright status. It covers the "China Academic Journals Full-text Database", "China Doctoral Dissertations Full-text Database", "China Master's Theses Full-text Database", "China Proceedings of Conference Full-text Database", and the "China Core Newspapers Full-text Database".
How long does it take to generate a report after detection?
The detection time varies depending on the size of the document being detected, but the average time is around a few dozen seconds.
What types of reports are available for the detection results?
The literature detection service report includes three types of reports: a full-text report, a comparison report and a concise report. The AIGC detection report is in the form of a full-text report.
If you have any trouble or need help during usage, please feel free to contact us via email at individual@int1.cnki.net.