Adding a few pictures to the paper and forgetting to update the page number of the catalogue will of course have an impact on duplicate checking.
The standards and rules for duplicate checking of HowNet are as follows:
1. Because of the most advanced fuzzy algorithm, if the overall structure and outline are disrupted, the articles in the same place may be inconsistent in the first and second red detection, or the parts that were not marked as red in the first detection will be marked as red in the second detection. Therefore, try to change the sentence pattern when modifying the repeated content, so as not to disturb the original overall outline and structure of the paper.
2. After the whole paper is uploaded, the system will automatically detect the chapter information of the paper according to the directory generated by the article, and then the system will detect the chapter of the paper, so that the copy ratio of each single chapter can be obtained. The directory is gray and does not participate in the text detection; Otherwise, it will be automatically segmented and detected according to 10000 or so characters. At the same time, the directory may be detected as text, and if it is duplicated, it will be marked as red.
3. China Knowledge Network has set a threshold for the sensitivity of this duplicate checking system, which is 5%. In terms of paragraphs, plagiarism or quotation below 5% cannot be detected, which is common in clauses or small concepts in large paragraphs. For example, if the detection paragraph 1 has 10000 words, a single document with less than 500 words will not be detected. In fact, here also tells the students a method of revision, that is, never choose an article to quote from paragraph plagiarism, try to choose as many documents as possible, and intercept a few words from one article, so that it will not be found out.
4. How to detect plagiarism in a paper? The condition of hownet paper detection is that 13 words with continuous similarity or plagiarism will be marked as red, but the prerequisite in 3 must be met: that is, the total number of words in a document you quoted or plagiarized must reach more than 5% in each detection paragraph before it can be detected as red.
5. Hownet detection system will automatically identify references, and references will not participate in text detection. In addition, if excluded, the references in the HowNet test report are displayed in gray font, indicating that they did not participate in the test. Of course, if the format of the reference is completely correct and standardized, this will be automatically excluded. Otherwise, references will be detected as text, which will cause all references to be marked in red. ?
Extended data:
Most of the "anti-plagiarism software" used in colleges and universities is the "academic misconduct detection system" developed by China HowNet, which is provided to users free of charge by China HowNet. Official website particularly emphasized that the system is only free for users of institutions such as universities, scientific research institutions and publishing units, and individual users are not included. However, Taobao online sellers claim to use the HowNet system, and the blind spot of supervision makes illegal businesses earn millions a month, which also lays a deeper foundation for academic fraud.
On August 20 10, the system administrator of "China hownet research integrity management system research center" announced in the "academic misconduct document detection system area" that the center had closed down more than ten illegal accounts. But the reality is that the number of paper detection sellers on Taobao has remained above 1 000 for a long time. With the arrival of graduation season, this data is still rising. As a website with pure commercial interests, Taobao should examine the qualifications of registered businesses. We don't object to Taobao's pursuit of economic benefits, but we can't completely give up social benefits.
A country's scientific research level and academic strength are important manifestations of its development potential. In order to avoid academic harm, society, schools and students should start from themselves and say no to academic fraud.
Baidu Encyclopedia-Paper Detection Service?