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跨平台社交动态：ChatGPT 与 COVID-19 疫苗对话分析。

Cross-platform social dynamics: an analysis of ChatGPT and COVID-19 vaccine conversations.

机构信息

Department of Computer Science, Sapienza University of Rome, Rome, Italy.

Ca'Foscari University of Venice, DAIS, Venice, Italy.

出版信息

Sci Rep. 2024 Feb 2;14(1):2789. doi: 10.1038/s41598-024-53124-x.

DOI:10.1038/s41598-024-53124-x
PMID:38307909
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10837143/
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.

摘要

社交媒体在信息传播和议程设置方面的作用近年来显著扩大。通过提供实时互动，在线平台已成为研究社会对重大事件反应的宝贵工具，因为这些事件正在展开。然而，对外部发展的在线反应受到各种因素的影响，包括事件的性质和在线环境。本研究通过分析数字平台上的公共话语动态来探讨这个问题。我们分析了与两个重大事件相关的超过 1200 万条帖子和新闻文章：2022 年 ChatGPT 的发布和 2021 年全球对 COVID-19 疫苗的讨论。数据来自多个平台，包括 Twitter、Facebook、Instagram、Reddit、YouTube 和 GDELT。我们采用主题建模技术来揭示每个平台上独特的主题重点，这反映了它们的特定功能和目标受众。此外，情感分析揭示了公众对所研究主题的各种看法。最后，我们比较了平台之间的参与度演变，揭示了同一主题的独特模式。值得注意的是，由于主题的即时性，关于 COVID-19 疫苗的讨论传播得更快，而关于 ChatGPT 的讨论，尽管其具有技术重要性，但传播得更缓慢。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a22f/10837143/468269100c81/41598_2024_53124_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a22f/10837143/a55057dd225e/41598_2024_53124_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a22f/10837143/0201e7b72a45/41598_2024_53124_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a22f/10837143/468269100c81/41598_2024_53124_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a22f/10837143/a55057dd225e/41598_2024_53124_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a22f/10837143/0201e7b72a45/41598_2024_53124_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a22f/10837143/468269100c81/41598_2024_53124_Fig3_HTML.jpg

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