Summarising scientific texts with ChatGPT—the example of Max Weber

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Published: 26.11.2024
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In this exercise, ChatGPT is instructed to summarise a theoretically demanding text and answer questions about its content. The aim of this exercise is to show that the programme does not provide an ideal summary and can also provide incorrect information in some places, that it takes a considerable amount of work to check the answers and that the programme cannot ‘understand’, but performs arithmetic operations and works with probabilities. The exercise also illustrates that ChatGPT cannot handle basic academic tasks such as correct citation without errors and also reproduces text passages in the answers verbatim and without labelling. The example also shows that ChatGPT mixes text summarisation with interpretation.

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