How to conduct a literature review using the articles recommended by the platform?

Conducting a literature review using platform-recommended articles is a feasible and efficient approach to initiating scholarly exploration. These algorithmic recommendations serve as valuable entry points for discovering relevant research based on your profile or initial query. Effectively leveraging these recommendations requires critical curation. Actively assess the relevance and quality of each suggested article rather than accepting them uncritically. Prioritize articles from reputable, peer-reviewed journals and authoritative publishers. Consistently verify recommendations against your specific research questions and objectives, ensuring alignment with your scope. Crucially, use platform tools like citation tracking to expand beyond the initial suggestions and discover related foundational and contemporary works, preventing the review from being limited by algorithmic bias. Begin by using precise keywords or setting detailed search parameters to generate high-quality initial recommendations. Systematically evaluate each suggested article for its relevance, methodology, and contribution to your field. Extract key information, such as methodologies, findings, and limitations, and integrate this systematically into your thematic analysis or conceptual framework. Supplement platform suggestions by tracing references (backward chaining) and identifying citing articles (forward chaining) within the platform databases. This structured approach ensures a comprehensive, well-supported literature review grounded in the recommended starting points but rigorously expanded.