Barbara Lanfranchi
Biographic Data
| ID | 7768030 |
|---|---|
| NAME | Barbara Lanfranchi |
| GIVEN NAMES | Barbara |
| FAMILY NAME | Lanfranchi |
| SIGNATURE | LANFRANCHI B |
| AFFILIATIONS | Bambino Gesù Children's Hospital |
| VERIFIED | No |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Exploring the vaccine conversation on TikTok in Italy
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
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
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,…
No prominent works on this page.
Understanding the vaccine stance of Italian tweets and addressing language changes through the Covid-19 pandemic
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
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
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 works) · Medicine (3 works) · Misinformation and Its Impacts (3 works) · Social media (3 works) · Vaccine Coverage and Hesitancy (3 works) · World Wide Web (3 works) · Advertising (2 works) · Communication (2 works) · Conversation (2 works) · Family medicine (2 works)