The most frequent problem that any researcher runs into when preparing a research paper or dissertation is plagiarism. Before creating the report, the well-known plagiarism checking tool Turnitin divides plagiarism into 10 types. We’ll learn about the 10 types of plagiarism that researchers should be aware of and avoid in this article.
What is Plagiarism?
The use of another author’s words or ideas without permission or in close imitation and passing them off as one’s own original work constitutes plagiarism.
Copying and pasting someone else’s work into your own is known as plagiarism.
10 types of plagiarism
- Clone
- Ctrl+C
- Find-Replace
- Remix
- Recycle
- Hybrid
- Mashup
- 404 Error
- Aggregator
- Re-Tweet
1- plagiarism: clone
The term “identical copying” can also be used to describe clone plagiarism. In this, someone exactly copies another person’s work (word-for-word) and then claims it as his own.
Example: clone plagiarism
2- plagiarism: Ctrl+C
It is known as “Ctrl+C” sort of plagiarism when a significant portion of content is taken exactly from one source in a written work without any changes.
Example: Ctrl+C plagiarism
3- plagiarism: Find-Replace
Finding and replacing the most frequent words and phrases while leaving the rest of the copied text unchanged is referred to as Find and Replace kind of plagiarism.
Example: Find-Replace plagiarism
4- plagiarism: Remix
One person gathers data from multiple sources, combines it into one document, and then claims ownership of the work in the remix type of plagiarism.
Example: Remix plagiarism
5- Plagiarism: Recycle
Recycling is also referred to as self-plagiarism. It refers to the practice of copying completely from one’s own previous work without proper citation.
Example: Recycle plagiarism
6- plagiarism: Hybrid
Properly cited source documents are duplicated and rearranged into a new document without citation in the hybrid type of plagiarism.
Example: Hybrid plagiarism
7- Plagiarism: Mashup
A “mashup” type of plagiarism is when a written piece is plagiarized from multiple sources and combined without the necessary citations for each source.
Example: Mashup plagiarism
8- Plagiarism: 404 Error
In this, a document is created by copying text from different sources and then preparing it as a single document with citations. However, if the reference is incorrect or leads to nonexistent resources, it will be classified as one of the 404 types of plagiarism.
Example: 404 Error plagiarism
9- Plagiarism: Aggregator
This type of plagiarism, known as aggregator plagiarism, occurs when a written paper has all the necessary citations but no unique work.
Example: Aggregator plagiarism
10- plagiarism: Re-Tweet
Re-Tweet plagiarism is when an entire written article appears flawless with all necessary citations, but still has some structural or linguistic similarities to the original text.
Example: Re-Tweet plagiarism
Tips to Avoid Plagiarism
1- Before beginning an explanation, read the original material multiple times and make sure you understand it.
2- Do not use any passages from the original document exactly.
3- Be sure to properly cite all of your sources (Books, journals, Websites, videos, and so on).
4- Add the accessed date and the relevant URL in the citation when using online sources.
5- It is necessary to quote and cite common phrases and definitions exactly.
6- Make it a habit to always include a “references” section while writing research papers or thsis.
7- Before submitting your document, double-check all of your citations.
8- Finally, to confirm the originality of the prepared content, get a plagiarism report from any well-known software.
Other articles
Please read through some of our other articles with examples and explanations if you’d like to learn more about research methodology.
Research
- Resources for PhD Literature Review
- Top 100 Google Scholar Journals
- 16 Reasons for Your Manuscript to Be Rejected by Reviewers
- How to Reach a Wider Audience in Research?
- Journal Publication Ethics for Authors
- Best Websites to Download Thesis and Dissertation
- Do All References in a Reference List Need to Be Cited in Text?
- Respondents To Fill Out a Dissertation Survey
- Stolen Unpublished Work
- Co-author Uses ChatGPT for Acedemic Writing.
- Article Retraction in Academic Publishing
- Write a 10 and 20-Page Research Paper in One Night
- Journal Submission Hacks
- How to Conduct a Research Survey
- Consistency in Ph.D. Research
- Peer Pressure in PhD Research
- Facts About Sci-Hub
- Finding Scopus Indexed Journals
- Scopus Indexed Journal
- Cloned Journals
- Timeline for Writing a Research Paper in a Month
- Why Do Paid Scientific Journal Publications Exist?
- Types of Plagiarism
- How GPTzero Detects ChatGPT-Generated Research Articles?
- Free Open Access Journals
- How to Conduct Community Member Research Interviews
- How Q1 Journals are Calculated?
- AI Detection Tools for ChatGPT-Generated Research Articles
- Sci-Hub Proxy Links Working
Citation Styles
- APA Reference Page
- MLA Citations
- Chicago Style Format
- “et al.” in APA, MLA, and Chicago Style
- Footnote Citation
- Do All References in a Reference List Need to Be Cited in Text?
Comparision
- Basic and Applied Research
- Cross-Sectional vs Longitudinal Studies
- Survey vs Questionnaire
- Open Ended vs Closed Ended Questions
- Experimental and Non-Experimental Research
- Inductive vs Deductive Approach
- Null and Alternative Hypothesis
- Reliability vs Validity
- Population vs Sample
- Conceptual Framework and Theoretical Framework
- Bibliography and Reference
- Stratified vs Cluster Sampling
- Sampling Error vs Sampling Bias
- Internal Validity vs External Validity
- Full-Scale, Laboratory-Scale and Pilot-Scale Studies
- Plagiarism and Paraphrasing
- Research Methodology Vs. Research Method
- Mediator and Moderator
- Type I vs Type II error
- Descriptive and Inferential Statistics
- Microsoft Excel and SPSS
- Parametric and Non-Parametric Test
Comparision
- Independent vs. Dependent Variable
- Research Article and Research Paper
- Proposition and Hypothesis
- Principal Component Analysis and Partial Least Squares
- Academic Research vs Industry Research
- Clinical Research vs Lab Research
- Research Lab and Hospital Lab
- Thesis Statement and Research Question
- Quantitative Researchers vs. Quantitative Traders
- Premise, Hypothesis and Supposition
- Survey Vs Experiment
- Hypothesis and Theory
- Independent vs. Dependent Variable
- APA vs. MLA
- Ghost Authorship vs. Gift Authorship
Research
- Research Methods
- Quantitative Research
- Qualitative Research
- Case Study Research
- Survey Research
- Conclusive Research
- Descriptive Research
- Cross-Sectional Research
- Theoretical Framework
- Conceptual Framework
- Triangulation
- Grounded Theory
- Quasi-Experimental Design
- Mixed Method
- Correlational Research
- Randomized Controlled Trial
- Stratified Sampling
- Ethnography
- Ghost Authorship
- Secondary Data Collection
- Primary Data Collection
- Ex-Post-Facto
Research
- Table of Contents
- Dissertation Topic
- Synopsis
- Thesis Statement
- Research Proposal
- Research Questions
- Research Problem
- Research Gap
- Types of Research Gaps
- Variables
- Operationalization of Variables
- Literature Review
- Research Hypothesis
- Questionnaire
- Abstract
- Validity
- Reliability
- Measurement of Scale
- Sampling Techniques
- Acknowledgements
- Data Coding
- Research
- Research Methods
- Quantitative Research
- Qualitative Research
- Case Study Research
- Survey Research
- Conclusive Research
- Descriptive Research
- Cross-Sectional Research
- Theoretical Framework
- Conceptual Framework
- Triangulation
- Grounded Theory
- Quasi-Experimental Design
- Mixed Method
- Correlational Research
- Randomized Controlled Trial
- Stratified Sampling
- Ethnography
- Ghost Authorship
- Secondary Data Collection
- Primary Data Collection
- Ex-Post-Facto
Statistics
- PLS-SEM model
- Principal Components Analysis
- Multivariate Analysis
- Friedman Test
- Chi-Square Test (Χ²)
- T-test
- SPSS
- Effect Size
- Critical Values in Statistics
- Statistical Analysis
- Calculate the Sample Size for Randomized Controlled Trials
- Covariate in Statistics
- Avoid Common Mistakes in Statistics
- Standard Deviation
- Derivatives & Formulas
- Build a PLS-SEM model using AMOS
- Principal Components Analysis using SPSS
- Statistical Tools
- Type I vs Type II error
- Descriptive and Inferential Statistics
- Microsoft Excel and SPSS
- One-tailed and Two-tailed Test
- Parametric and Non-Parametric Test