Pular para o conteúdo principal

ETHNOS_APP

Início • Busca • Periódicos • Lista 0

Barbara Lanfranchi

Dados Biográficos

ID7768030
NOMEBarbara Lanfranchi
PRENOMESBarbara
SOBRENOMELanfranchi
ASSINATURALANFRANCHI B
AFILIAÇÕESBambino Gesù Children's Hospital
VERIFICADONão
TOTAL DE OBRAS3
TOTAL DE CITAÇÕES0
OBRAS COMO AUTOR3
OBRAS COMO EDITOR0
PRIMEIRO ANO DE PUBLICAÇÃO2022
ANO MAIS RECENTE DE PUBLICAÇÃO2023
ÍNDICE H0
  • Exploring the vaccine conversation on TikTok in Italy

    Open Access•Lorenza Parisi, Simone Mulargia et al.•ARTICLE•BMC Public Health•2023

    TikTok, a social media platform for creating and sharing short videos, has seen a surge in popularity during the COVID-19 pandemic. To analyse the Italian vaccine conversation on TikTok, we downloaded a sample of videos with a high play count (Top Videos), identified through an unofficial Application Programming Interface (consistent with TikTok's Terms of Service), and collected public videos from vaccine sceptic users through snowball sampling …

  • Understanding the vaccine stance of Italian tweets and addressing language changes through the Covid-19 pandemic

    Open Access•S Cheatham, Per Egil Kummervold et al.•ARTICLE•Frontiers in Public Health•2022

    Social media is increasingly being used to express opinions and attitudes toward vaccines. The vaccine stance of social media posts can be classified in almost real-time using machine learning. We describe the use of a Transformer-based machine learning model for analyzing vaccine stance of Italian tweets, and demonstrate the need to address changes over time in vaccine-related language, through periodic model retraining. Vaccine-related tweets w…

  • How the Italian Twitter Conversation on Vaccines Changed During the First Phase of the Pandemic

    Open Access•Francesco Gesualdo, Lorenza Parisi et al.•ARTICLE•Frontiers in Public Health•2022

    In the context of the European Joint Action on Vaccination, we analyzed, through quantitative and qualitative methods, a random sample of vaccine-related tweets published in Italy between November 2019 and June 2020, with the aim of understanding how the Twitter conversation on vaccines changed during the first phase of the pandemic, compared to the pre-pandemic months. Tweets were analyzed by a multidisciplinary team in terms of kind of vaccine,…

Sem obras proeminentes nesta página.

  • Understanding the vaccine stance of Italian tweets and addressing language changes through the Covid-19 pandemic

    Open Access•S Cheatham, Per Egil Kummervold et al.•ARTICLE•Frontiers in Public Health•2022

    Social media is increasingly being used to express opinions and attitudes toward vaccines. The vaccine stance of social media posts can be classified in almost real-time using machine learning. We describe the use of a Transformer-based machine learning model for analyzing vaccine stance of Italian tweets, and demonstrate the need to address changes over time in vaccine-related language, through periodic model retraining. Vaccine-related tweets w…

  • How the Italian Twitter Conversation on Vaccines Changed During the First Phase of the Pandemic

    Open Access•Francesco Gesualdo, Lorenza Parisi et al.•ARTICLE•Frontiers in Public Health•2022

    In the context of the European Joint Action on Vaccination, we analyzed, through quantitative and qualitative methods, a random sample of vaccine-related tweets published in Italy between November 2019 and June 2020, with the aim of understanding how the Twitter conversation on vaccines changed during the first phase of the pandemic, compared to the pre-pandemic months. Tweets were analyzed by a multidisciplinary team in terms of kind of vaccine,…

  • Exploring the vaccine conversation on TikTok in Italy

    Open Access•Lorenza Parisi, Simone Mulargia et al.•ARTICLE•BMC Public Health•2023

    TikTok, a social media platform for creating and sharing short videos, has seen a surge in popularity during the COVID-19 pandemic. To analyse the Italian vaccine conversation on TikTok, we downloaded a sample of videos with a high play count (Top Videos), identified through an unofficial Application Programming Interface (consistent with TikTok's Terms of Service), and collected public videos from vaccine sceptic users through snowball sampling …

Computer Science (3 obras) · Medicine (3 obras) · Misinformation and Its Impacts (3 obras) · Social media (3 obras) · Vaccine Coverage and Hesitancy (3 obras) · World Wide Web (3 obras) · Advertising (2 obras) · Communication (2 obras) · Conversation (2 obras) · Family medicine (2 obras)

Ethnos_APP • Projeto Open Source • Licença MIT • Frontend v2.0.0 • Privacidade e Cookies • Documentação da API: api.ethnos.app/docs • Código da API: GitHub • DOI: 10.5281/zenodo.17049435 • Código do Frontend: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae