  Generative AI is changing the way in which humans seek to find answers to
questions in different fields including on the gig economy and labour markets,
but there is limited information available about closely ChatGPT simulated
output matches that obtainable from existing question and answer platforms.
This paper uses ChatGPT as a research assistant to explore how far ChatGPT can
replicate Quora question and answers, using data from the gig economy as an
indicative case study. The results from content analysis suggest that Quora is
likely to be asked questions from users looking to make money and answers are
likely to include personal experiences and examples. ChatGPT simulated versions
are less personal and more concept-based, including considerations on
employment implications and labour rights. It appears therefore that generative
AI simulates only part of what a human would want in their answers relating to
the gig economy. The paper proposes that a similar comparative methodology
would also be useful across other research fields to help in establishing the
best real world uses of generative AI.
