Difference between revisions of "Research Goals"

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'''RQ1''': How do medical crowdfunding campaigns differ from AI-generated replications?
 
'''RQ1''': How do medical crowdfunding campaigns differ from AI-generated replications?
 
* Step 1: Scrape GoFundMe's [https://www.gofundme.com/start/medical-fundraising medical] fundraising homepage. I should be able to adapt Alex Fischmann's script from last summer.
 
* Step 1: Scrape GoFundMe's [https://www.gofundme.com/start/medical-fundraising 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 in the prompt.
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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.
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* 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].

Revision as of 23:48, 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.