Analytical material
The introduction is a component of any thesis. It defines the direction of the research and indicates what to expect from the text, especially in the context of rewriting AI-generated content to pass plagiarism checks.
The main objectives of the introduction:
- To draw attention to the issue of using AI in academic texts.
- To provide a general overview of rewriting text to meet university requirements.
- To formulate the main thesis, the key idea of how to rewrite AI-generated text for a thesis and pass plagiarism checks.
This example of an introduction is adapted to the topic of rewriting AI-generated text within the framework of a thesis.
How to rewrite AI-generated text for a thesis and pass plagiarism checks?
Step 1: Identify the problem in the text
The first sentence sets the direction of the entire article, so it is important to clearly define the key objective from the outset: rewriting AI-generated text to pass plagiarism checks.
Long and overloaded constructions should be avoided. The opening must be clear, concise, and reflect the essence of the problem related to lack of originality and text quality.
The opening sentence should demonstrate that rewriting is not a formal edit, but a necessary stage of adapting the text to academic requirements. General formulations or obvious statements without analysis are not recommended.
Examples: how to formulate a strong opening
Let us consider examples of weak and improved formulations and analyze how they can be strengthened.
❌AI-generated text can be used in a thesis.
✅Rewriting AI-generated text is a key stage for passing plagiarism checks and meeting thesis requirements.
The first sentence is a dry statement; the second is more substantial, as it shows why the topic matters.
❌Plagiarism checking is a system for evaluating text.
✅Plagiarism checks reveal the limitations of AI-generated texts and make their revision a necessary stage of academic work.
Formal definitions should be avoided, especially when referring to obvious concepts. The improved version provides a clearer understanding of the article’s topic.
❌Students use AI to write texts.
✅The use of AI in thesis writing requires substantial revision, as the original formulations do not meet academic standards.
Instead of stating a fact already known to the reader, the improved version reveals the essence of the problem and sets the direction for further analysis.
Step 2: Provide context
Next, it is necessary to provide context that will help to understand the problem of rewriting AI-generated text and the argumentation of the article. Depending on the topic of the thesis, this may include:
University requirements for originality and academic writing
- Principles of how plagiarism detection systems work
- University requirements for originality and academic writing
- A brief overview of approaches to rewriting text
- Definitions of key concepts related to AI and academic text
The information should be general, yet directly connected to the main idea of the article.
This section should not be overloaded with details. It is sufficient to outline the key aspects that will be examined in detail later, leaving argumentation and evidence for the main body.
The volume of context depends on the topic and scope of the work. In this case, a few sentences are sufficient to outline the problem of using AI-generated texts, the requirements of the academic environment, and the difficulty of passing plagiarism checks.
Example: Context
The use of artificial intelligence tools in academic writing has become a widespread phenomenon in the context of growing digital technologies. In many universities, requirements for text originality and independent research remain key criteria for evaluating a thesis. At the same time, AI-generated texts often reproduce standard structures and generalized formulations, which makes it difficult for them to successfully pass plagiarism checks. Attempts to adapt such materials through superficial editing do not take into account the deeper requirements of the academic environment and lead to a decrease in the quality of research.
Step 3: Check through a plagiarism detection service
It is now necessary to narrow the focus and clearly define the main position on the topic. The thesis formulates the key idea: AI-generated texts are identified by analytical systems, therefore their use requires substantial revision.
This element is central to the introduction. The thesis should reflect not just a fact, but a statement that requires explanation and justification.
The objective is to clearly present the position: rewriting the text is a necessary condition for passing plagiarism checks and meeting academic requirements.
Examples:
AI-generated texts are identified by modern analytical systems such as Turnitin, Copyleaks, GPTZero, and Originality.ai, as they retain typical structures and predictable linguistic patterns. Comprehensive rewriting becomes a mandatory stage that allows for changing the logic, structure, and argumentation of the text, ensuring its compliance with plagiarism requirements and the academic environment.
How plagiarism detection systems work
A brief overview of the operating principles of plagiarism detection services and AI identification systems, including methods for analyzing text structure, style, and originality.
Turnitin
- Checks the text against academic publications, websites, and student papers
- Comparison with a database of sources
- Detection of matches
- Identifies fragments with borrowings and shows the percentage of similarity
- Text structure analysis
- Determines similarities in sentence construction and logical flow
- Identification of template formulations
- Finds repetitive and standard phrases typical of AI-generated text
- Originality assessment
- Generates an overall report with a percentage of uniqueness and problematic sections of the text
Copyleaks
- Text originality check
- Compares the text with online sources and databases.
- AI text detection
- Analyzes the probability that the text was generated by a neural network
- Linguistic pattern analysis
- Identifies repetition of phrases and standard sentence structures
- Highlighting suspicious fragments
Indicates parts of the text that may have been generated by AI - Report generation
- Provides a final assessment of originality and the likelihood of AI usage
GPTZero
- Text predictability analysis
- Evaluates how typical the text is for AI-generated content
- Perplexity score assessment
- Determines the complexity and variability of the text.
- Burstiness analysis
- Compares sentence rhythm and variation with human writing
- Text origin detection
- Indicates the probability that the text was written by AI or a human
- Detailed report
- Highlights sections of the text that show signs of neural network generation
Frequently Asked Questions (FAQ)
Partial editing does not solve the problem, as the original structure and logic of the text remain unchanged. Analytical systems detect such patterns, therefore substantial revision of the content is required.
Algorithms analyze not only matches, but also the style, predictability, and structure of the text. AI produces typical constructions that are easily recognized by the system.
Word substitution does not affect the underlying characteristics of the text. The logic, argumentation, and structure remain the same, making this approach ineffective.
It is necessary to fully revise the material: change the structure, reconstruct the argumentation, and present ideas based on a clear understanding of the topic. This approach improves both originality and the overall quality of the work.
Использование возможно только как вспомогательный инструмент. Финальный текст должен быть переработан и соответствовать требованиям академической среды.
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M&P Advertising works with academic projects at the Bachelor, Master, and PhD levels, with a focus on the requirements of universities in the EU and the UK. The approach is based on analysis of the topic, sources, and research logic rather than on template solutions. All services are provided officially under a contract.
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