PLAGIARISM DETECTION: ISSUES AND CHALLENGES IN THE DIGITAL AGE

Abstract

Plagiarism remains a significant concern in academic, professional, and creative domains, undermining integrity and originality. With the proliferation of digital content and advanced technologies, detecting plagiarism has become both critical and complex. This paper explores the multifaceted issues and challenges in plagiarism detection, including the evolving nature of plagiarism, limitations of current detection tools, and ethical considerations. It examines technological advancements like AI-based detection systems and their effectiveness in identifying various forms of plagiarism, such as direct copying, paraphrasing, and self-plagiarism. Challenges like cross-lingual plagiarism, false positives, and the ethical implications of AI-driven detection are discussed. The paper also highlights the role of academic policies and the need for education on ethical writing practices. By analyzing current trends and future directions, this study aims to provide insights for researchers, educators, and policymakers to enhance plagiarism detection mechanisms and promote academic integrity.