Generative AI for Crowdfunding
From REU@MU
Revision as of 17:52, 7 July 2023 by Carolinearnold (Talk | contribs)
Research Goals
RQ1: How do medical crowdfunding campaigns differ from AI-generated replications?
- Step 1: Scrape GoFundMe's medical fundraising homepage. I should be able to adapt Alex Fischmann's script from last summer.
- Step 2: Prompt an LLM (GPT-3 or GPT-4) to rewrite scraped campaigns. This may require fine-tuning. Write a script to replicate n campaigns n times. We want a 1-1 relationship between an original campaign and its replication. In other words, the output should adhere to the facts provided in the prompt.
- Step 3: Use natural language processing (NLP) techniques to compare original campaigns to their AI-generated counterparts. Analyze individual word associations with NRC or LIWC and overall tone with sentiment analysis.
RQ2: Which campaign is more successful with respect to medical crowdfunding?
- We need IRB approval to conduct experiments with human participants.
- Which factors contribute to a successful campaign? How do we quantify success?
