According to Baidu question bank query, in order to avoid the disadvantages of traditional academic paper detection, the following detection methods can be adopted:

1. Manual review: check the originality and academic value of the paper through manual review, and avoid misjudgment and omission in machine testing.

2. Cross-check: send papers to experts in different fields for inspection and evaluate the quality of papers from different angles.

3. Peer review: It is a common evaluation method in academic circles to evaluate the academic value and originality of papers through peer review.

4. Big data analysis: Use big data technology to analyze the content of the paper to detect whether there is plagiarism and similarity.

5. Blockchain technology: Use blockchain technology to record and track the creation process of the paper to ensure the originality of the paper.

Traditional academic paper detection usually refers to the use of computer programs to check whether there is plagiarism, plagiarism or other improper behavior in a paper. This detection method is usually based on text comparison technology, that is, comparing the papers to be detected with one or more known text databases to find similar texts.