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User behaviour significantly influences the quality and visibility of content in Question-and-Answer (Q&A) platforms such as Quora, Stack Overflow, and Reddit. This paper explores how behavioral factors— including voting patterns, commenting, click-through rates, and engagement duration—impact content ranking algorithms. It further proposes behavior-aware ranking mechanisms that optimize answer visibility and user trust. In addition, the study highlights ethical considerations, future advancements, and best practices in designing adaptive, user-centric Q&A platforms. Our findings suggest that deep understanding of user behavior patterns can greatly enhance relevance, fairness, and satisfaction in Q&A ecosystems.