CNKI Academic Misconduct Literature Detection System

Detection Range:

China Academic Journals Network Publishing Database.

China Ph.D.** Full-text Database China Excellent Master's Degree ** Full-text Database.

Full-text database of important conferences in China**.

Full-text database of important Chinese newspapers.

China Patent Full-text Database.

Internet resources.

English database (covering English data of journals, doctoral and master's degrees, conferences, as well as Springer in Germany and Taylor &Francis in the UK

journal databases, etc.).

Hong Kong, Macao and Taiwan Academic Literature Database.

Priority publication of the bibliographic database.

Internet documentation resources.

Personal Comparison Library.

This is the database of CNKI detection, which includes Internet resources and Internet document resources. Some libraries and articles on the Internet may be included in CNKI, unless they are in the recent past, and CNKI will not have time to be included in the future.

In addition, Japanese is almost undetectable, these belong to small languages, and they are not included in the CNKI database, but if you change to English, there is a great chance of being detected.

The academic misconduct detection system is different from CNKI's duplicate checking.

Although both the Academic Misconduct Detection System and CNKI Plagiarism Check are used to check the originality of the ** and avoid plagiarism, they may work differently and use them differently.

Academic misconduct detection systems typically use text-matching algorithms, such as Turnitin and Ithenticate, which compare the ** to be detected against others in their database to find possible similarities or plagiarism. These systems typically require the user to upload the complete ** to be inspected, with a high degree of accuracy and trust.

CNKI is a ** tool, which uses a similarity comparison algorithm to calculate the similarity between the documents to be detected and the documents in the database of the evidence, and gives the percentage of similarity to prompt users whether there is possible plagiarism. This method is relatively simple compared to the misconduct detection system, but it also has certain limitations, such as the possibility that it may not be able to detect plagiarism from other resources.

**Significance of plagiarism:

1. Plagiarism check helps to maintain academic integrity.

Academic integrity is an indispensable ethical measure in scientific research. If there is **plagiarism, heavy quotation, unindicated** or unauthorized reuse of the data of the committee member Minlu Association or peers, it will cause doubts and criticism from other scholars and readers. In order to maintain good academic ethics, students and scholars must insist on obtaining information from the original**, and pay attention to avoiding plagiarism, plagiarism and other behaviors.

2. Duplicate checking helps to promote knowledge innovation.

Knowledge innovation requires innovative thinking and an in-depth understanding of literature. It is only through a unique way of thinking that a new and unique way of thinking can be distilled to promote knowledge innovation and make the results original. If a work relies on the results of others to assert research results, then such a work will eventually lack original thinking and innovation.

3. Duplicate checking is conducive to the protection of intellectual property rights.

The awareness of intellectual property protection in the academic community is constantly improving, and more and more academic journals, publishing houses, and research institutions pay attention to encouraging originality and protecting intellectual property rights, and strengthen the inspection and review of intellectual property rights. If a work is plagiarized multiple times from the same **, then such a work will be censored and held accountable.

People call this system the "academic misconduct lie detector." However, before the "detection system" was officially applied, its accuracy and scientificity were questioned by some teachers and students, which led to a controversy. It is understood that the "Academic Misconduct Literature Detection System" is an anti-plagiarism software that can be used for plagiarism, forgery, multiple submissions of one manuscript, tampering, and rounding.

The Academic Misconduct Detection System (TMLC) uses the "China Academic Literature Network Publishing Database" as the full-text comparison database, which realizes the rapid detection of academic misconduct such as plagiarism and plagiarism, forgery, and tampering, which can be used by users to detect degrees, and supports users to build their own comparison database.

1. Understand the impact of the first duplicate check rate.

However, if the duplicate check rate is too high, it means that there is too much content for you to learn from others, and in most cases, it will be considered that there is a suspicion of plagiarism from others. This is also the majority of schools in order to prevent students from plagiarizing on the Internet to other ** problems and make regulations on the **duplicate check rate, otherwise it is difficult to have a high standard of the quality of the ** content submitted by students, and few students will treat ** with their hearts.

2. The content of the reference in the identification.

In order to further prove that the **content you wrote** does not plagiarize too much else**, so that the last page of the **content you like** indicates the specific address of the literature you refer to. Sometimes you see that the content of some journals is very consistent with the ** you want to write, and you will directly copy out the specific address of this journal literature for your reference.

3. Select a literature detection system.

But sometimes we can also learn from some literature detection systems, these detection tools can allow everyone to quickly obtain the specific address of the literature. For example, the CNKI journal academic misconduct literature detection system, which is often used and recommended by everyone, is also installed by most schools, and some small mistakes can be avoided by putting self-study into the detection system in advance.

4. Master the operation of literature detection tools.

The method used by CNKI's academic misconduct literature detection system is also relatively simple, as long as you copy and paste the detection results of ** into the last page of the reference in your **. The specific addresses of these documents can help you directly check whether the content of these journals is really consistent with the content written in **, which can prove the quality of your **content and professionalism to a certain extent.

Many people just ignore the testing of the literature and have their own ** will be recognized as unqualified by the school, which also allows everyone to accumulate some experience. Don't have fatal problems in these small details, which are considered unqualified by the school, but they will be affected.

Here's how:Operating equipment: Dai Ban Yuner laptop.

Operating system: win10

Operating procedure: Browser CNKI.

2. Find the "Academic Misconduct File Retrieval System", as shown in the figure below

3. In the new web page, select the type that needs to be checked, as shown in the following figure:

4. Select the entrance route according to your needs, as shown in the following figure:

5. On the login page, enter the account password according to the personal identity information, as shown in the following figure

6. Then follow the prompts on the page, as shown in the figure below

7. Follow the prompts, enter the title of the stupid balance**, and submit the author's name for testing, as shown in the figure below