What is Plagiarism and their Detection techniques

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Plagiarism has always been an issue for teachers, writers, editors, and others who deal with words and ideas on a regular basis.There are many software that check plagiarism.

But not every program has a large database or an accurate algorithm. Even the best checkers don’t have a 100-percent success rate.So the manual process is also there.

But knowing how the tools that check text for plagiarism work will help you decide which ones are worth your time.

Definition of Plagiarism: To steal and pass off (the ideas or words of another) as one’s own:

Use another’s production without crediting the source

According to Merriam-Webster dictionary, the simple meaning for plagiarism is:

“To use the words or ideas of another person as if they were your own words or ideas”.

Plagiarism also includes :

  1. Failing to put quotations in quotation marks.
  2. Giving incorrect information about the source of the quotation.
  3. Changing words but copying the sentence structure of a source without giving credit.
  4. Copying so many words or ideas from a source that it makes up the majority of your work, whether you give credit or not.

These are above some points which describe the plagiarism.

Plagiarism Detection

Plagiarism detection can be done through manually or using an automated process.

The automated process is very similar to natural language processing, visual identification, and biometric process.

All of these have a foundation for pattern recognition.

Automated process doesn’t give 100% accuracy. so the manual checking is still needed.

How do plagiarism-checkers work?

The below image showing how many step follow to detect the plagiarism when any text or content comes and give the result after check the text or input is same as database or not.

Every piece of text-matching software has its own approach.

Most work on the same basic principle: check entered content against a database of source material and

look for similarities.

A simple line-by-line search would take forever and be impractically resource-intensive.

That’s why most tools that check text for plagiarism use fingerprinting.

For any input database and their every text check line by line and they check the exact set of sample and run each one through a hashing algorithm.which produced a unique identifier for any input when its check. So in the below image the are three boxes one is Input and second is function box and third one for fingerprint.

Lets us know what is the process follow to check the given data is same as the database.

First the input pass then the finger function call in the finger function there pass the source of the database it means with the help of the database we can detect the how much of input text is same as the database.

The fingerprint function produced a output as a hash code so this will help to check how much percent the text is copy.

In the above image If a paper has a fingerprint that is identical in the it means the text or input is same as database so it means they both have the same input and may be plagiarism.

The high quality software direct check the string matching and text line by line.

Four-stage Plagiarism Detection Techniques Process:

Things to Look for in a Good Plagiarism Checker

A plagiarism checker should have:

  1. Strong privacy policy (e.g., they don’t store/sell your content).
  2. Large database.
  3. Good algorithm.

a. If a plagiarism checker does not have a right source of material, it won’t be able to check how much text are copy.

b. Most plagiarism-checker don’t explicitly reveal their algorithm, but the quality and accuracy of the results are a good indicator of how well-built it is.

This can be difficult to measure directly, but looking at how much detail it returns, reading user reviews, and testing to see if it can detect material you copy from other sources can give you a good idea of how comprehensive the site searches. If the free version fails to pick up a copy-paste from a Wikipedia article.for example, you probably can’t expect the paid version to be very through.

Text Based Plagiarism Detection Techniques:

The text based plagiarism deals with the detection of similarities between documents with the help of vector

space model.

It uses the complete document and takes help of vector space to match between the documents,

It includes copy and paste, modification or changing some words of the original information

from the internet book magazine,newspaper, research, blog journal, personal information or ideas.

 Different methods used for textual plagiarism detection:

Grammar-based method: 

The grammar-based method is an important tool to detect plagiarism.

The grammar- based methods are suitable for detecting exact copy without any modification,

but it is not suitable for detecting modified copied text by rewriting or switching some words that has the same meaning.

External plagiarism detection method: 

A suspicious document is checked for plagiarism by searching for passages that are duplicates.

Then a report is sent by the external plagiarism system to these findings to a human controller

who is responsible for deciding whether the detected passages are plagiarized or not.

There are two main classes of methods used to reduce plagiarism.

  1. Plagiarism Prevention :
    Punishment routines and plagiarism drawback explanation procedures. Require a long time to implement. But have a long-term positive effect.
  2. Plagiarism Detection :
    Include manual methods and software tool. Easy to implement, but have a momentary positive effect.
 SOFTWARE BASED PLAGIARISM DETECTION TOOLS:
  • PlagAware.
  • CheckForPlagiarism.net.
  • PlagScan.
  • ithenticate.
  • Viper.
  • SearchEngineReports.
  • Quetext.
  • Copyleaks.

Written by 

Harshit Gupta is a Software Consultant at knoldus Inc having few year experience in DevOps . He always eager to learn new technology and helping to others .