当前位置:
X-MOL 学术
›
arXiv.cs.SI
›
论文详情
Our official English website, www.x-mol.net, welcomes your
feedback! (Note: you will need to create a separate account there.)
A first look at COVID-19 information and misinformation sharing on Twitter
arXiv - CS - Social and Information Networks Pub Date : 2020-03-31 , DOI: arxiv-2003.13907 Lisa Singh, Shweta Bansal, Leticia Bode, Ceren Budak, Guangqing Chi, Kornraphop Kawintiranon, Colton Padden, Rebecca Vanarsdall, Emily Vraga, Yanchen Wang
arXiv - CS - Social and Information Networks Pub Date : 2020-03-31 , DOI: arxiv-2003.13907 Lisa Singh, Shweta Bansal, Leticia Bode, Ceren Budak, Guangqing Chi, Kornraphop Kawintiranon, Colton Padden, Rebecca Vanarsdall, Emily Vraga, Yanchen Wang
Since December 2019, COVID-19 has been spreading rapidly across the world.
Not surprisingly, conversation about COVID-19 is also increasing. This article
is a first look at the amount of conversation taking place on social media,
specifically Twitter, with respect to COVID-19, the themes of discussion, where
the discussion is emerging from, myths shared about the virus, and how much of
it is connected to other high and low quality information on the Internet
through shared URL links. Our preliminary findings suggest that a meaningful
spatio-temporal relationship exists between information flow and new cases of
COVID-19, and while discussions about myths and links to poor quality
information exist, their presence is less dominant than other crisis specific
themes. This research is a first step toward understanding social media
conversation about COVID-19.
中文翻译:
首次了解 Twitter 上的 COVID-19 信息和错误信息共享
自 2019 年 12 月以来,COVID-19 已在全球迅速传播。毫不奇怪,关于 COVID-19 的讨论也在增加。本文首先介绍了社交媒体(特别是 Twitter)上关于 COVID-19 的对话量、讨论主题、讨论的来源、关于该病毒的误解以及其中的多少通过共享的 URL 链接连接到 Internet 上其他高质量和低质量的信息。我们的初步研究结果表明,信息流和 COVID-19 新病例之间存在有意义的时空关系,虽然存在关于神话和与低质量信息的联系的讨论,但它们的存在不如其他危机特定主题那么重要。
更新日期:2020-04-01
中文翻译:
首次了解 Twitter 上的 COVID-19 信息和错误信息共享
自 2019 年 12 月以来,COVID-19 已在全球迅速传播。毫不奇怪,关于 COVID-19 的讨论也在增加。本文首先介绍了社交媒体(特别是 Twitter)上关于 COVID-19 的对话量、讨论主题、讨论的来源、关于该病毒的误解以及其中的多少通过共享的 URL 链接连接到 Internet 上其他高质量和低质量的信息。我们的初步研究结果表明,信息流和 COVID-19 新病例之间存在有意义的时空关系,虽然存在关于神话和与低质量信息的联系的讨论,但它们的存在不如其他危机特定主题那么重要。