Plagiarism detection has become an essential tool in the academic and publishing realms to maintain research integrity. This study presents a data analysis of plagiarism checker usage, aiming to uncover key trends and insights regarding its adoption, frequency, and impact.
By analyzing a large dataset of plagiarism checks conducted over a specific time period, this analysis sheds light on the prevalence of plagiarism, the effectiveness of detection tools, and the implications for academic publishing.
This data analysis provides valuable insights into the usage and trends of plagiarism checkers in the academic and publishing domains. The findings highlight the importance of plagiarism detection in maintaining research integrity, improving the quality of scholarly publications, and fostering a culture of ethical writing.
The dataset used in this analysis comprises plagiarism checks conducted through various online plagiarism detection tools over a period of three years (2019-2021). The data was collected from diverse academic institutions, research organizations, and publishing platforms. Statistical analysis and visualization techniques were employed to identify significant trends and patterns.