Unveiling Writing Styles: A Comparative Analysis of AI-Generated and Human Generated Content

Artificial Intelligence (AI) has revolutionized the process of producing content, and this has raised many questions about the kind of difference the writing styles of material produced by AI and that of humans differ from each other in. This is essential in exploring this important topic by comparing or contrasting a wide range of writing style indicators. It attempts to identify observable trends and differences in writing styles by looking at the complexity of words, semantics, readability, sentiment analysis, vocabulary variety, and plagiarism rate. Using a strict methodology, the content generated by AI through language models is compared against the content produced by humans in this case, articles written by bloggers and professional authors. Some of these instruments and measurements are quite well-studied, such as readability formulae, sentiment analysis methods, plagiarism detection algorithms, and so forth, where there is a possibility of doing a detailed investigation on the variations in writing styles. This work adds to the ever-increasing corpus of study in computational linguistics and digital communication that is found in the literature on AI generated content and writing style analysis. The findings are not just illuminating what distinguishes AI generated content but also open the space for its impact on content development, quality evaluation, and ethical concerns. This project advanced knowledge about the rapidly changing environment of digital content generation and consumption by unveiling the intricacies of writing styles of material produced under the guise of human authorship and artificial intelligence.