Information Search
Google Scholar: is a specialized search engine for links to scholarly articles, conference papers, and patents. It provides an overview of research material reaching back to the mid 20th century. It relies on keyword search and matching, presenting users with a list of relevant academic content.
ChatGPT employs a conversation-based approach based on probabilistic large language models. Users can pose queries in natural language, and it aims to understand user intent and provide organized responses in complete sentences.
User Experience:
Google Scholar: While Google Scholar provides comprehensive results, users must filter through search results individually, which can be time-consuming. Some self-citing occurs and citations and impact metrics can be inflated. It's not a 'one-stop-shop' solution and doesn't index every published peer review journal. Full-text access can also be an issue.
ChatGPT: offers a user-friendly and intuitive search experience. It understands context and provides human-like answers, saving users time. However it can show hallucinations in it's answers and it does not always use academic appropriate resources to answer questions. Prompt engineering can help get more detailed answers from a LLM..
Fact-Checking and Trust:
Google Scholar: Google Scholar focuses on academic content but doesn't fact-check information. The user needs to evaluate their results and be aware of retracted papers and , predatory publishers as well as issues around currency and accuracy and author expertise.
ChatGPT: provides straightforward questions and general solutions but falls short in fact-checking tasks. Again the user needs to evaluate their results and be aware of retractions and predatory publishers as well as issues around currency and accuracy and author expertise.
In summary, Google Scholar is specialized for scholarly content, while ChatGPT offers a conversational search experience useful for summarizing non-specialised information.
See more at ChatGPT vs. Google: A Comparative Study of Search Performance and User .
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