Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations
Аутори
Alipour, ShayanGaleazzi, Alessandro
Sangiorgio, Emanuele
Avalle, Michele
Bojić, Ljubiša
Cinelli, Matteo
Quattrociocchi, Walter
Чланак у часопису (Објављена верзија)
Метаподаци
Приказ свих података о документуАпстракт
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.
Извор:
Scientific Reports, 2024, 14, 2789Издавач:
- Nature Portfolio
Финансирање / пројекти:
- "info:eu-repo/grantAgreement/MESTD/inst-2020/200025/RS//" (RS-MESTD-inst-2020-200025)
Колекције
Институција/група
IFDTTY - 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 . .