Essential Guide: Controlling Paper Similarity with Claude, Escape Plagiarism Troubles!
Today, Aji will discuss how to control similarity when writing papers with Claude, allowing for more flexible citations.
Aji has summarized a 3+2 rule for controlling paper similarity, which includes 3 clever strategies and 2 important considerations.
This method was validated through Aji’s assistance to nearly 50 master’s and doctoral students in handling their papers.
When it comes to controlling similarity in papers using Claude, what are the three core clever strategies?
First: Use the fragmented reconstruction method to process literature.
Second: Use the bidirectional comparison method for precise citations.
Third: Use the concept extension method to showcase your thoughts.
Speaking of the fragmented reconstruction method, Aji can’t help but recall an interesting case.
A doctoral student once approached Aji, with a literature review similarity rate as high as 40%.
I advised him to break down each piece of literature into the smallest information units, such as a data point, a conclusion, or a viewpoint, and then let Claude reorganize this information in a completely different logical order.
In the end, his similarity rate dropped to below 15%.
Why use fragmented reconstruction?
Because most plagiarism detection software is based on continuous text matching.
When you break and reorganize text, the continuity of the original text is disrupted, which naturally lowers the similarity rate.
It’s like breaking a puzzle into pieces and then using those fragments to create a brand new picture.
What is the bidirectional comparison method?
Specifically, it involves having Claude compare both the original literature and your writing logic simultaneously.
We not only need Claude to understand the core viewpoints of the original text but also to grasp the innovative points you want to express.
Aji recently helped a master’s student revise a paper using this method.
We first input: Please analyze the core argument of this literature, and then input: Based on my research findings, what new angles can this viewpoint be expanded from?
Through this bidirectional interaction, Claude can generate content rich in personal insights while maintaining the original meaning.
Here Aji can’t help but share a usage tip: when asking Claude to analyze, it’s advisable to directly inform it of your research direction and innovative points.
For example, my research explores this phenomenon from a social psychology perspective; please help me analyze viewpoints in the original text that can support this perspective.
Last is the concept extension method.
This method is particularly interesting; it allows your paper to remain true to the original meaning while being innovative.
How does it work?
First, identify key concepts in the literature, then let Claude extend this concept from different dimensions.
For example, if the original text discusses the impact of social media on teenagers, we can ask Claude to discuss it from multiple dimensions such as the immediacy of social media, information echo chambers, and the accumulation of social capital.
At this point, Aji recalls a case from a few days ago involving a doctoral student.
His paper topic was the impact of digital transformation on corporate innovation.
We used the concept extension method to extend digital transformation into aspects like digital thinking modes, digital organizational culture, and building digital capabilities, making the entire discussion more three-dimensional and in-depth.
For this, Aji has also prepared a complete paper similarity optimization plan for annual core members, including 50 classic case analyses and 200 high-quality paper paragraph examples to help everyone quickly master these techniques.
The two important considerations are equally important.
The first is to pay attention to the coherence of language when using Claude to control similarity.
Sometimes, Claude may generate overly fragmented content; at this point, we need to add appropriate transition statements to make the writing flow more smoothly.
The second consideration is to control the depth of citations.
Many students, in order to reduce similarity, often deviate from the core meaning of the original text.
In fact, we can fully respect the original text while expanding its research dimensions, showcasing our depth of thought.
Sometimes Aji sees students frequently asking Claude to completely rewrite the original text, which is a misconception.
Instead of making extensive rewrites, it’s better to use these clever methods to express your unique academic insights while maintaining the original meaning.
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PS. How to obtain “one-on-one research consulting guidance” or “latest academic AI model account” and watch Aji’s “advanced internal techniques for paper research”?
The “Aji Teaches You to Use AI” exclusive advanced AI application courses and domestic ChatGPT accounts including the more powerful Claude account are available here.
