TY  - JOUR
AU  - Alipour, Shayan
AU  - Galeazzi, Alessandro
AU  - Sangiorgio, Emanuele
AU  - Avalle, Michele
AU  - Bojić, Ljubiša
AU  - Cinelli, Matteo
AU  - Quattrociocchi, Walter
PY  - 2024
UR  - http://rifdt.instifdt.bg.ac.rs/123456789/3775
AB  - The role of social media in information dissemination and agenda-setting has significantly expanded in recent years. By offering real-time interactions, online platforms have become invaluable tools for studying societal responses to significant events as they unfold. However, online reactions to external developments are influenced by various factors, including the nature of the event and the online environment. This study examines the dynamics of public discourse on digital platforms to shed light on this issue. We analyzed over 12 million posts and news articles related to two significant events: the release of ChatGPT in 2022 and the global discussions about COVID-19 vaccines in 2021. Data was collected from multiple platforms, including Twitter, Facebook, Instagram, Reddit, YouTube, and GDELT. We employed topic modeling techniques to uncover the distinct thematic emphases on each platform, which reflect their specific features and target audiences. Additionally, sentiment analysis revealed various public perceptions regarding the topics studied. Lastly, we compared the evolution of engagement across platforms, unveiling unique patterns for the same topic. Notably, discussions about COVID-19 vaccines spread more rapidly due to the immediacy of the subject, while discussions about ChatGPT, despite its technological importance, propagated more gradually.
PB  - Nature Portfolio
T2  - Scientific Reports
T1  - Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations
IS  - 2789
VL  - 14
DO  - 10.1038/s41598-024-53124-x
ER  - 

@article{
author = "Alipour, Shayan and Galeazzi, Alessandro and Sangiorgio, Emanuele and Avalle, Michele and Bojić, Ljubiša and Cinelli, Matteo and Quattrociocchi, Walter",
year = "2024",
abstract = "The role of social media in information dissemination and agenda-setting has significantly expanded in recent years. By offering real-time interactions, online platforms have become invaluable tools for studying societal responses to significant events as they unfold. However, online reactions to external developments are influenced by various factors, including the nature of the event and the online environment. This study examines the dynamics of public discourse on digital platforms to shed light on this issue. We analyzed over 12 million posts and news articles related to two significant events: the release of ChatGPT in 2022 and the global discussions about COVID-19 vaccines in 2021. Data was collected from multiple platforms, including Twitter, Facebook, Instagram, Reddit, YouTube, and GDELT. We employed topic modeling techniques to uncover the distinct thematic emphases on each platform, which reflect their specific features and target audiences. Additionally, sentiment analysis revealed various public perceptions regarding the topics studied. Lastly, we compared the evolution of engagement across platforms, unveiling unique patterns for the same topic. Notably, discussions about COVID-19 vaccines spread more rapidly due to the immediacy of the subject, while discussions about ChatGPT, despite its technological importance, propagated more gradually.",
publisher = "Nature Portfolio",
journal = "Scientific Reports",
title = "Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations",
number = "2789",
volume = "14",
doi = "10.1038/s41598-024-53124-x"
}

Alipour, S., Galeazzi, A., Sangiorgio, E., Avalle, M., Bojić, L., Cinelli, M.,& Quattrociocchi, W.. (2024). Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations. in Scientific Reports
Nature Portfolio., 14(2789).
https://doi.org/10.1038/s41598-024-53124-x

Alipour S, Galeazzi A, Sangiorgio E, Avalle M, Bojić L, Cinelli M, Quattrociocchi W. Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations. in Scientific Reports. 2024;14(2789).
doi:10.1038/s41598-024-53124-x .

Alipour, Shayan, Galeazzi, Alessandro, Sangiorgio, Emanuele, Avalle, Michele, Bojić, Ljubiša, Cinelli, Matteo, Quattrociocchi, Walter, "Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations" in Scientific Reports, 14, no. 2789 (2024),
https://doi.org/10.1038/s41598-024-53124-x . .