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    Transparent Peer Review By Scholar9

    PLAGIARISM DETECTION: ISSUES & CHALLENGES

    Abstract

    Plagiarism detection remains a critical issue in academia and beyond, posing challenges due to the evolving nature of information dissemination and the ease of access to vast amounts of content online. This abstract explores key issues and challenges in plagiarism detection, including the complexity of defining plagiarism across diverse contexts, the emergence of sophisticated techniques to mask copied content, and the need for efficient and accurate detection methods. Additionally, it addresses the ethical considerations surrounding plagiarism detection, such as privacy concerns and the balance between deterring academic dishonesty and fostering a culture of learning. By analyzing these challenges, this abstract aims to provide insights into the multifaceted nature of plagiarism detection and the ongoing efforts to develop robust solutions that uphold academic integrity in an increasingly digital and interconnected world.

    Reviewer Photo

    Amit Mangal Reviewer

    badge Review Request Accepted
    Reviewer Photo

    Amit Mangal Reviewer

    19 Sep 2024 04:31 PM

    badge Not Approved

    Relevance and Originality

    Methodology

    Validity & Reliability

    Clarity and Structure

    Results and Analysis

    Relevance and Originality

    The article addresses a pressing issue in academia and beyond: plagiarism detection. Its focus on the complexities of defining plagiarism and the challenges posed by modern content dissemination makes it highly relevant. To enhance originality, the article could include unique case studies or innovative solutions currently being explored in the field.


    Methodology

    While the article effectively outlines key challenges, it lacks detail on the methodologies used to analyze these issues. Including specific frameworks or analytical approaches employed in the research would strengthen the methodology. Discussing how data was gathered or evaluated would also provide more clarity.


    Validity & Reliability

    The validity of the insights depends on the sources referenced in discussing plagiarism detection. Highlighting the credibility of these sources, along with any potential biases, would enhance reliability. Including metrics or benchmarks used to evaluate existing detection methods could further support the findings.


    Clarity and Structure

    The article communicates its ideas well, but clearer organization would improve readability. Structuring the content into distinct sections—such as challenges, ethical considerations, and potential solutions—would help guide readers through the complexities of the topic more effectively.


    Result Analysis

    The analysis of challenges and ethical considerations surrounding plagiarism detection is insightful. However, a deeper exploration of specific detection methods and their effectiveness, along with potential future directions for research, would strengthen the results section. Discussing practical implications for educational institutions could also enhance the article's relevance and impact.

    Publisher Logo

    IJ Publication Publisher

    Thank You Sir

    Publisher

    IJ Publication

    IJ Publication

    Reviewer

    Amit

    Amit Mangal

    More Detail

    Category Icon

    Paper Category

    Computer Engineering

    Journal Icon

    Journal Name

    IJCRT - International Journal of Creative Research Thoughts External Link

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    p-ISSN

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    e-ISSN

    2320-2882

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