Research Methodology in the Human Sciences

Content analysis, as an advanced research method, is employed to extract meanings and underlying patterns from textual, visual, and multimedia data in numerous scientific studies across various fields, including humanities, social sciences, technology, and marketing. This method can be executed qualitatively or quantitatively, with both approaches aiming to uncover patterns, meanings, and hidden structures within the data. In quantitative content analysis, the collected data is analyzed numerically through coding and counting specific words, while qualitative content analysis primarily focuses on identifying semantic patterns and interpreting content.With advancements in data processing technologies and the emergence of artificial intelligence tools, content analysis has become one of the most modern and efficient tools for processing digital data. This paper emphasizes the significance of content analysis in scientific research, reviewing its principles, stages, and methods, as well as its extensive applications across various domains. Furthermore, challenges such as coder reliability and the rapid evolution of digital data, alongside methodological advancements and new technologies, have enhanced the effectiveness of content analysis. Ultimately, content analysis plays a crucial role in understanding social, cultural, and communicative dynamics, facilitating interdisciplinary collaborations, and fostering a more comprehensive understanding of human society.