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The Plagiarism Spectrum: Understanding Every Type

Plagiarism isn’t a “one size fits all” concept. As a matter of fact, there are so many different types of plagiarism that accusations and consequences can vary based on the type of content, the intention of the author, and the amount of plagiarism within a text.

The best way to avoid any type of plagiarism on the plagiarism spectrum is to ensure that the writer understands what plagiarism is and take the steps to avoid it in any form, to the greatest extent possible. Hundreds of thousands of people have trusted Copyleaks to help them avoid and detect plagiarism in academic and professional settings for over 10 years. This trust doesn’t just come from our award-winning plagiarism detection technology, it also comes from our ability to adapt that technology to flag any instances of plagiarism, no matter which part of the plagiarism spectrum they come from.

What is the Plagiarism Spectrum

Plagiarism is a vast concept with a lot of nuance in the intention of the author to plagiarize, the severity or extent of the plagiarism, and the form the plagiarism is being presented. For example, authors can accidentally plagiarize, but the plagiarism can be so severe (i.e. they copied and pasted an entire website and submitted it as their own work) that it is undeniable, and may require harsher consequences.

Educators and professionals need to understand the entire plagiarism spectrum in order to spot instances of plagiarism and apply appropriate consequences when necessary. Simply knowing the different types of plagiarism may not be enough. What’s more important is to understand how each type of plagiarism may be found in student or employee work, along with the student’s understanding of what plagiarism is and how they can avoid it.

Finding instances of plagiarism in student and employee work can seem frustrating, but analyzing how that plagiarism is delivered can explain a bit more about what we as educators and employers can do to help them avoid plagiarism in the future. For example, if an employee submits a PowerPoint presentation in which she paraphrased the work of another author and she didn’t properly cite that paraphrased portion, this instance lands on the plagiarism spectrum. Helping that employee understand how to properly cite the source material and when to cite the source material can help her avoid plagiarism in the future.

The importance of identifying the plagiarism spectrum and how students’ and employees’ might land on it can help us properly educate them and spot instances of direct plagiarism and copyright infringement.

The Major Type of Plagiarism on the Spectrum

Direct Plagiarism

Direct plagiarism is when someone directly copies and pastes a sentence, section, or entire piece of writing verbatim. This type of plagiarism is one of the most identifiable and includes no effort from the plagiarizer.

An example of this would be if a student submitted a paper that was simply copied and pasted from a blog on the Internet with the same topic.

In many cases, instances of direct plagiarism pose the highest risks and have the most extensive consequences. These consequences include a failing grade on the paper or in the class, and even expulsion, if it isn’t a first-time offense.

In the business world, direct plagiarism can lead to termination and significant damage to the plagiarizer’s reputation, depending on their industry.

| SCANNED TEXT

If I could offer you only one tip for the future, sunscreen would be it. The long-term benefits of sunscreen have been proved by scientists, whereas the rest of my advice has no basis more reliable than my own meandering experience. I will dispense this advice now. Enjoy the power and beauty of your youth.

| DETECTED TEXT

If I could offer you only one tip for the future, sunscreen would be it. The long-term benefits of sunscreen have been proved by scientists, whereas the rest of my advice has no basis more reliable than my own meandering experience. I will dispense this advice now. Enjoy the power and beauty of your youth.

Why Recognizing the Plagiarism Spectrum Matters in the Age of AI

For educators, recognizing plagiarism and where specific instances of plagiarism land on the spectrum has become even more essential as generative AI tools become more advanced. As algorithms and Large Language Models (LLMs) update, it can be difficult to keep up with the technology. It has become harder to detect patchwriting and AI-assisted plagiarism, unless you have a tool that you can depend on to help you.

For business owners, your brand and reputation could be at stake as AI-assisted writing brings in reputational risks to your brand and, even worse, IP risks that could lead to potentially severe lawsuits against your company.

Luckily, Copyleaks has an AI detection software that uses layered analysis methods to help detect AI and AI influence within text. AI Logic by Copyleaks uses AI Phrases and AI Source Match to assess texts for AI-generated content and detect phrases that are seen frequently in AI-written text.

Real-World Examples Across the Spectrum

Example of Academic Plagiarism

When a student copies and pastes an entire article from the Internet into a word doc and changes the formatting to fit the instructor’s parameters or style guide, they are committing direct plagiarism.

If that student reworded the article they copied and pasted, just a little bit, they are committing paraphrasing plagiarism.

When a student takes only a paragraph or section of an article from a website and rewrites it slightly, it is considered mosaic plagiarism, also known as patchwriting plagiarism.

Example of Professional Plagiarism

Suppose a journalist from the New York Times were to take articles from smaller publications and create stories using the words of the original authors. In that case, that journalist is plagiarizing work, especially if he or she doesn’t cite the source material.

In 2003, journalist Jayson Blair was found to have plagiarized and fabricated stories. This discovery led to the New York Times having to print a retraction and Blair resigning from his job.

Example of AI-Assisted Plagiarism

If a business professional were to run a question through ChatGPT for a project and then take the answer, reword it, and submit the final product as their own, this would be considered AI plagiarism or AI-assisted plagiarism. He could potentially lose his job or face consequences within his industry. 

Tools & Strategies to Detect All Forms of Plagiarism

There may be numerous online plagiarism detection tools available, but not all of them are created equally. Plagiarism detection software that only uses single-method solutions to review the work presented fails to cover the entire spectrum because they don’t consider all factors.

The plagiarism detection tool from Copyleaks has multi-layer detection capabilities. This award-winning tool scans for direct plagiarism, use of AI, and source tracing to determine instances where there are near-matches in content. It provides a comprehensive plagiarism analysis to help you avoid plagiarism and detect AI-generated content.

Frequently Asked Questions About the Plagiarism Spectrum

When a Large Language Model writes a sentence, it uses all its pre-training data to create a response or an output based on statistical modeling. AI detectors can recognize this pattern and flag certain content as AI-generated because it significantly differs from the way humans write.

AI detectors can be trained on human-written content samples, so the presence of an AI text generator becomes clearer compared to human writing.