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The Role of AI in Improving Answer Quality on Q & A Platforms

Year: 2025

Type: article

Abstract: The integration of Artificial Intelligence (AI) in Question-and- Answer (Q&A) platforms has revolutionized how users obtain information. AI- driven algorithms enhance the quality of responses by leveraging natural language processing (NLP), machine learning (ML), and deep learning techniques. This paper explores the role of AI in improving answer quality on Q&A platforms, discussing various AI techniques such as sentiment analysis, relevance ranking, automated moderation, and personalized recommendations. Additionally, the study examines the challenges, ethical considerations, and future advancements in AI-powered Q&A systems. The findings suggest that AI significantly improves accuracy, relevance, and engagement while addressing misinformation and low- quality content

Source: International Journal of Advanced Research in Science Communication and Technology

DOI: 10.48175/ijarsct-23753

Authors: Rekha Wanjari, Sahil Chilbule, Bhagyashree Kumbhare, Yamini Kanekar

Language: English

Topic: Expert finding and Q&A systems

Subfield: Information Systems

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4408474170

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