Literature Review and Audience

Literature Review and Audience

Copyright: © 2025 |Pages: 24
DOI: 10.4018/979-8-3693-6905-0.ch004
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Abstract

This chapter addresses the integration of AI in enhancing the rigor and relevance of preliminary research and literature reviews while effectively engaging target audiences. The chapter begins by outlining methodologies for conducting preliminary research using AI tools, highlighting their ability to sift through vast datasets and identify pertinent studies, thereby saving researchers valuable time and ensuring comprehensive coverage. It then delves into AI-enhanced literature review techniques, demonstrating how AI can synthesize information, identify research gaps, and generate insightful summaries, thus elevating the quality of academic work. The focus then shifts to understanding the audience, emphasizing the critical role of tailoring research outputs to meet the expectations and interests of specific academic and public audiences. This is further explored through the concept of AI-powered rhetoric for contextual adaptation, where AI tools are employed to adjust the tone, style, and content of research presentations to suit diverse audience needs.
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