Bibliographic search and analysis with Elicit
DOI:
https://doi.org/10.3145/infonomy.24.050Keywords:
ChatGPT, LLMs, GPT, Elicit, Semantic Scholar, Academic literature, Bibliographic search, Document analysis, Artificial Intelligence, AI, Systematic ReviewAbstract
The adoption of ChatGPT has revolutionized text reading and generation, replacing basic tasks like text searches with the assistance of natural language Artificial Intelligence (AI). This has led to the emergence of specialized applications like Elicit, which have transformed fundamental bibliographic search and analysis tasks by leveraging open databases like Semantic Scholar. These tools offer advanced functionalities for bibliographic review, though they present certain limitations and risks associated with misuse or lack of critical knowledge. This paper reviews the features and functions of Elicit to practically introduce this tool, while highlighting aspects to consider in order to reduce risks and ensure responsible use.References
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Arroyo-Machado, Wenceslao (Director) (2024, abril 25). Búsqueda y análisis bibliográfico con Elicit (IA), con Wenceslao Arroyo-Machado. https://www.youtube.com/watch?v=u3zlLWZ5-eE
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Copyright (c) 2024 Wenceslao Arroyo-Machado
This work is licensed under a Creative Commons Attribution 4.0 International License.