How to conduct a literature review based on the articles recommended by academic resource platforms?

Conducting a literature review leveraging platform-recommended articles is feasible and efficient when approached systematically. These recommendations serve as a valuable starting point to identify relevant foundational and contemporary works. Key principles include carefully evaluating recommendation relevance to the research question, assessing article quality and source credibility, and tracing citations to expand the corpus. It is crucial to note that platform algorithms have limitations; their scope might omit seminal non-digital sources or niche publications, introducing potential bias. Therefore, recommendations should initiate but not define the entire review, necessitating supplementary searches using diverse keywords and databases to ensure comprehensiveness and overcome algorithmic constraints. The process involves systematically collecting platform suggestions, grouping them into thematic clusters reflecting the subject's conceptual structure. Analyzing these clusters reveals dominant trends, key methodologies, theoretical debates, and existing knowledge gaps. Subsequent integration requires synthesizing insights from recommended works with findings from wider searches, logically organizing themes to form a coherent narrative framework. This structured approach, beginning with platform inputs, significantly streamlines the initial literature discovery phase and enhances overall review efficiency, while critical supplementation ensures scholarly rigor and breadth.