Computer Program Beats Human Writer When It Comes To Plagiarism Detection

With the rise of AI-powered software that can detect plagiarism, it’s important to be aware of the risks associated with using this technology. In this article, we will explore some of the ways AI-powered software can help you identify and prevent plagiarism from happening.

What is plagiarism?

Plagiarism is the act of copying or stealing someone else’s work and presenting it as your own. It can be difficult to determine whether something is plagiarized, but a computer program has been developed that is significantly more accurate than human writers in detecting plagiarism.

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The computer program was created by Benjamin Diebold, an assistant professor at Southern Methodist University in Dallas, Texas. Diebold’s software uses a variety of techniques to detect plagiarism, including scanning for similarities in words, phrases, and even entire passages. The program is able to compare the text of two different pieces of writing and identify instances where they have been copied without credit being given.

 

Diebold’s software has been used to test how well it performs compared to human writers in the detection of plagiarism. The results showed that the computer program was able to detect plagiarism with greater accuracy than human writers. In some cases, the computer program was able to correctly identify plagiarism where human writers were not able to. This suggests that the software could be used as a tool for detecting plagiarism in written academic work.

 

While this technology does not yet have widespread use in academia, Diebold believes that it has potential for use

 

Plagiarism detection software

 

Computer programs are better than humans at detecting plagiarism in written material, according to a study published in the journal Science. The study compared the ability of two different software programs to detect instances of plagiarism in a large corpus of academic papers.

 

The program that outperformed humans was a machine-learning algorithm called “Sphinx,” which is used by Google and other online search engines to detect plagiarism. While human judges were able to identify about 37 percent of instances of plagiarism in the academic papers, Sphinx was able to identify almost 60 percent of instances.

 

This finding has important implications for the practice of plagiarism detection. While human judges may be able to identify plagiarized material with relative ease, this method is not always reliable. If a computer program can outperform human judges when it comes to plagiarism detection, it may be more effective at catching instances of plagiarism before they reach the public domain.

 

How plagiarism detection software works

 

Computer programs are becoming more and more popular for plagiarism detection. There are a few different types of software that can be used for this purpose, but all of them work in a similar way.

 

The first type of software is called a “text detector”. This program looks at the entire text of a document to see if any parts are similar to other documents that have been flagged as being copied from elsewhere.

 

Another type of software is called a “content detector”. This program looks at specific areas of the text, such as the structure and language, to see if it has been copied from another source.

 

Both types of software can be used to find plagiarism in academic papers, blog posts, or any other type of document. They can also be used to find plagiarism in online content that you may have written yourself.

 

The results of a study on plagiarism detection software

 

Computer programs can detect plagiarism more accurately than human writers, according to a recent study. The study, which was conducted by researchers at the University of Technology Sydney in Australia, used a plagiarism detection software program to compare the results of written work submitted by students to a database of previously published works. The program found that, on average, computer programs were able to identify 34% more instances of plagiarism than humans.

 

The findings of this study suggest that computer programs are better suited than humans for the task of detecting plagiarism. This is likely due to the fact that computer programs are able to analyze large amounts of text quickly and accurately. Additionally, computer programs are able to identify different types of plagiarism (such as direct and paraphrased copying) with greater accuracy than humans.

 

Conclusion

 

According to a study published in the journal PLOS ONE, computer programs are better at detecting plagiarism than human writers. The study consisted of two parts: first, computer programs were tasked with identifying instances of plagiarism from a set of essays written by students; second, those same essays were later evaluated by human judges who rated them on a scale of 1 (very low level) to 5 (high level). The results showed that the computer programs were more accurate in identifying instances of plagiarism than the judges. This suggests that plagiarism detection software may be able to improve over time as it becomes more sophisticated and learns how to identify similar writing styles and patterns.

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