Build a Plagiarism Checker Using Machine Learning

Plagiarism is rampant on the internet and in the classroom. With so much content out there, it’s sometimes hard to know when something has been plagiarized. Authors writing blog posts may want to check if someone has stolen their work and posted it elsewhere. Teachers may want to check students’ papers against other scholarly articles for copied work. News outlets may want to check if a content farm has stolen their news articles and claimed the content as its own.

So, how do we guard against plagiarism? Wouldn’t it be nice if we could have software do the heavy lifting for us? Using machine learning, we can build our own plagiarism checker that searches a vast database for stolen content. In this article, we’ll do exactly that.

Consequences of Plagiarism in Web Design

Plagiarism is the term given to the borrowing of someone else’s ideas and passing them around as one’s own. It exists in academia, in professional work environments, and any other field where there’s a creation of some kind of content involved.

It’s considered a serious offense, leading to copyright laws, fines, and even imprisonment (in some severe cases). Today, there are software and other special practices implemented to keep plagiarism in check.

What Is Plagiarism? How to Avoid It and Cite Sources

Plagiarism, as defined by the Oxford English Dictionary, is “the action or practice of taking someone else's work, idea, etc., and passing it off as one's own.”

This includes copying and pasting text from other sources and inserting them into your own work, or even just rewording text from another source. Anything that does not reflect your own thoughts or ideas, with incorrect attributions, or a lack thereof, is an act of plagiarism.