Information Card

Purpose: Help users practice new ways of imagining and formulating queries.

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Research suggests that effective prompting of LLMs can be challenging (Zamfirescu-Pereira et al., 2023) and query formulation even in mainstream web search engines is complicated (Tripodi, 2018). Mollick (2023), not specifically re search systems, has called for “large-scale public libraries of prompts”.

References

Mollick, E. (2023). One useful thing. Now Is the Time for Grimoires. https://www.oneusefulthing.org/p/now-is-the-time-for-grimoires

Tripodi, F. (2018). Searching for alternative facts: Analyzing scriptural inference in conservative news practices. Data & Society. https://datasociety.net/output/searching-for-alternative-facts/

Zamfirescu-Pereira, J. D., Wong, R. Y., Hartmann, B., & Yang, Q. (2023). Why johnny can’t prompt: How non-ai experts try (and fail) to design llm prompts. Proceedings of the 2023 Chi Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3544548.3581388