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brema76/
vaccine_opinion_it

Name: vaccine_opinion_it
Availability: InStock

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Classifier of opinion conveyed by vaccine-related content in Italian language
A monolingual model for classifying the opinion conveyed through vaccine-related content in Italian language. The model was trained on 36,722 and independently tested on 9,299 social media content between Facebook posts, Twitter tweets, Instagram media and YouTube videos. It is a fine-tuned version of bert-base-multilingual-cased.

Model output
The model classifies each input into one of three distinct classes:

Anti-vax
Neutral
Pro-vax

Citation info and BibTeX entries

Dynamics and triggers of misinformation on vaccines

bibtex

@article{Bru2025,
  title={Dynamics and triggers of misinformation on vaccines},
  author={Brugnoli, Emanuele and Delmastro, Marco},
  journal={PLOS ONE},
  year={2025},
  volume={20},
  number={1},
  pages={e0316258},
  doi={10.1371/journal.pone.0316258}
}

Unveiling the Hidden Agenda: Biases in News Reporting and Consumption

bibtex

@article{,
  title={Unveiling the Hidden Agenda: Biases in News Reporting and Consumption},
  author={Galeazzi, Alessandro and Peruzzi, Antonio and Brugnoli, Emanuele and Delmastro, Marco and Zollo, Fabiana},
  journal={PNAS NEXUS},
  year={2024},
  volume={3},
  number={11},
  pages={pgae474},
  doi={10.1093/pnasnexus/pgae474}
}

brema76/vaccine_opinion_it

brema76/
vaccine_opinion_it