Difference between revisions of "Research Goals"
From REU@MU
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* 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 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 [https://nlp.stanford.edu/sentiment/ analysis]. | * 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 [https://nlp.stanford.edu/sentiment/ analysis]. | ||
| + | '''RQ2''': Which campaign is more successful with respect to medical crowdfunding? | ||
| + | * We need IRB approval to conduct experiments with human participants. | ||
| + | '''Sub-RQs:''' Which factors contribute to a successful campaign? How do we quantify success? | ||
Revision as of 23:55, 2 June 2023
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.
Sub-RQs: Which factors contribute to a successful campaign? How do we quantify success?
