Do Small Prompt Tweaks Matter? An Evaluation of Small-Scale Linguistic Variations in Fundamental Contextual Statements and Their Impact on ChatGPT 4.0 Response Quality

Additional Metadata
Keywords	Large Language Model (LLM), Communication Accommodation Theory (CAT), Semantic Textual Similarity (STS), ChatGPT-4.0, Fundamental Contextual Statements (FCS), Response quality, Prompt Engineering (PE)
Thesis Advisor	Kloc, Agnieszka, Quinn, Martin
Persistent URL	hdl.handle.net/2105/78939
Series	Business Information Management
Organisation	Rotterdam School of Management
Citation APA APA Style APA-ALL Style AAA Style Cell Style Chicago Style Harvard Style IEEE Style MLA Style Nature Style Vancouver Style American-Institute-of-Physics Style Council-of-Science-Editors Style BibTex Format Endnote Format RIS Format CSL Format DOIs only Format	Bergström, Albin. (2025). Do Small Prompt Tweaks Matter? An Evaluation of Small-Scale Linguistic Variations in Fundamental Contextual Statements and Their Impact on ChatGPT 4.0 Response Quality. In Business Information Management.http://hdl.handle.net/2105/78939

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