Article Centered Factor

Article-centered factors analyze the characteristics of research articles themselves to understand their impact and success. Current research focuses on using natural language processing (NLP) techniques, including large language models (LLMs) and machine learning algorithms, to assess article quality, identify effective writing styles, and analyze content organization and framing. This research is significant for improving scientific communication, enhancing content moderation, and potentially optimizing the dissemination and impact of research findings across various fields.