Plagiarism
Plagiarism Checker AI — 3 AI Innovations in Plagiarism Detection
Discover the latest AI and machine learning innovations in plagiarism detection. Plus, see how plagiarism checkers are being incorporated across a variety of industries.
AI is evolving by leaps and bounds, and nowhere is that more evident than in the latest innovations in AI plagiarism detection.
Today, plagiarism checker AI is being used well beyond the classroom walls and university halls and is finding its place in journalism, marketing, and publishing.
Discover how the latest AI innovations in plagiarism detection are helping to make content more original and authentic across industries and what those innovations mean for the world of content marketing and publishing.
The rapid rise of AI has pros and cons. On the one hand, AI has a number of pros, such as:
But with this ease of access, AI also poses challenges:
That’s where AI plagiarism detection springs into action. Plagiarism detectors with advanced machine learning, such as Originality.ai’s Plagiarism Checker, offer industry-leading plagiarism detection capabilities to help maintain transparency in content.
Let’s take a closer look at the latest developments in AI plagiarism detection:
There are several types of plagiarism, including direct copying and pasting, global plagiarism, and patchwork plagiarism.
Today’s AI-based plagiarism detectors need to go well beyond identifying the basic copy-and-paste method to uncover more subtle examples of plagiarism.
Using machine learning algorithms, plagiarism checkers break down the text into chunks.
For instance, the Originality.ai plagiarism checker splits text into sections, enabling it to identify plagiarized text beyond copy-paste plagiarism, including sentence restructuring and paraphrasing.
It then uses a type of plagiarism detection known as web-search-based plagiarism detection to scan Google search results to identify if there is any text present that sufficiently matches online publications such as articles, blogs, or websites. Then, it highlights the similar text in the Content Scan.
By using machine learning, plagiarism checker AI can detect subtle changes in text, like paraphrasing.
Plagiarism Detection Using Machine Learning-Based Paraphrase Recognizer, an article published in the Journal of Intelligent Systems and available through Research Gate, found that “employing paraphrase recognition techniques is a promising direction to explore in the development of plagiarism detection systems.”
This particular study used SVMs or Support Vector Machines (a type of machine learning algorithm) to understand the difference between ‘original content’ and ‘plagiarized content.’
“Various lexical, syntactic, and semantic features, which reflect the degree of similarity between the source and suspicious text are extracted. These are used as input to a support vector machine classifier, which determines if the source text has been plagiarized.” Sourced via Research Gate
Keep in mind that while machine learning is one of the top innovations in plagiarism detection, not all plagiarism detectors incorporate it. Additionally, the types of machine learning algorithms used can vary by product.
To find out if the plagiarism detector you’re using incorporates AI innovations, check out its website for further information. Learn more about the Originality.ai plagiarism checker here.
The rise of AI has wide-ranging implications for everything from marketing to search engine optimization (SEO) to plagiarism detection.
Beyond using AI to paraphrase plagiarized text, AI text generators like ChatGPT and others are being used to create content quickly and efficiently. This has raised questions around whether using AI is plagiarism.
This is where tools like Originality.ai come in, which offers a suite of features, so that you can check for plagiarism and detect AI content.
This innovative approach allows content marketers, editors, and web publishers to maintain the authenticity of content and review potential instances of AI or plagiarism to ensure originality, as well as build credibility with their audience.
The use of plagiarism detection stretches beyond education. Here are some of the industries that are incorporating AI plagiarism checkers to maintain the integrity of the content they publish.
In the marketing and SEO world, duplicate content can impact a company’s search engine ranking.
Creating unique, insightful, authentically human or people-first content greatly appeals to target audiences and marketers. So, using a plagiarism detector plays a key role in ensuring that content is original and hasn’t been plagiarized from elsewhere. It also helps to uphold brand integrity and avoid intellectual property issues.
Journalists can use AI plagiarism checkers to help them ensure that reports and articles are original. Using a plagiarism checker can help review content to make sure sources are properly and correctly attributed.
Adhering to high journalistic standards also helps build credibility with their viewing audience. Further, since misinformation can (and does) spread like wildfire, maintaining journalistic integrity is more important than ever.
Just as in the world of content marketing and search engine optimization, publishers want to make sure that the material they publish is original.
Not only does this help them protect intellectual property, but it also helps them build credibility with their audience in much the same way as journalists.
Beyond checking for plagiarism, publishers also need transparency about whether the material they publish is written by humans or generated by AI.
Publishers can receive a mountain of publications. So, incorporating an AI checker along with plagiarism detection into their workflow is an excellent way to identify content that is likely AI-generated or plagiarized and needs further review.
The latest AI innovations in plagiarism detection are being incorporated across industries, including marketing, journalism, and publishing, to uphold content integrity.
Although the type of machine learning algorithm can vary by tool, studies like Plagiarism Detection Using Machine Learning-Based Paraphrase Recognizer, highlight that machine learning is key to modern plagiarism detection, enabling the tools to identify more than just copy-and-paste plagiarism.
Learn more about the industry-leading plagiarism checker at Originality.ai in our comparative reviews of the Grammarly and Copyscape plagiarism detectors. Then, try the Originality.ai plagiarism detector.