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Accuracy of a Large Language Model in Distinguishing Anti- And
  Pro-vaccination Messages on Social Media: The Case of Human Papillomavirus
  Vaccination

Accuracy of a Large Language Model in Distinguishing Anti- And Pro-vaccination Messages on Social Media: The Case of Human Papillomavirus Vaccination

10 April 2024
Soojong Kim
Kwanho Kim
Claire Wonjeong Jo
    LM&MA
ArXivPDFHTML

Papers citing "Accuracy of a Large Language Model in Distinguishing Anti- And Pro-vaccination Messages on Social Media: The Case of Human Papillomavirus Vaccination"

2 / 2 papers shown
Title
MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkers
MetaHarm: Harmful YouTube Video Dataset Annotated by Domain Experts, GPT-4-Turbo, and Crowdworkers
Wonjeong Jo
Magdalena Wojcieszak
33
1
0
22 Apr 2025
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as
  Alternative Annotators
Harmful YouTube Video Detection: A Taxonomy of Online Harm and MLLMs as Alternative Annotators
Claire Jo
Miki Wesołowska
Magdalena Wojcieszak
30
5
0
06 Nov 2024
1