论文标题
首次查看巴基斯坦Whatsapp上的Covid-19消息
A First Look at COVID-19 Messages on WhatsApp in Pakistan
论文作者
论文摘要
Covid-19的全球传播促使了广泛的在线讨论，在WhatsApp和Twitter等社交媒体平台上创建了“ Infodepic”。但是，这些平台上共享的信息倾向于不可靠和/或误导。在本文中，我们介绍了巴基斯坦公共WhatsApp集团公共WhatsApp群体的Covid-19的首次分析。在大规模注释的基础上，我们确定了一些包含文本和图像的消息，我们确定了讨论的主要类别。我们专注于199条消息，并了解要传播的不同类型的图像/文本消息。通过探索与共同消息相关的用户行为，我们检查了如何传播错误信息。最后，通过量化WhatsApp和Twitter上的信息流，我们展示了信息如何在平台上传播，以及WhatsApp如何作为在Twitter上共享的许多信息的来源。
The worldwide spread of COVID-19 has prompted extensive online discussions, creating an `infodemic' on social media platforms such as WhatsApp and Twitter. However, the information shared on these platforms is prone to be unreliable and/or misleading. In this paper, we present the first analysis of COVID-19 discourse on public WhatsApp groups from Pakistan. Building on a large scale annotation of thousands of messages containing text and images, we identify the main categories of discussion. We focus on COVID-19 messages and understand the different types of images/text messages being propagated. By exploring user behavior related to COVID messages, we inspect how misinformation is spread. Finally, by quantifying the flow of information across WhatsApp and Twitter, we show how information spreads across platforms and how WhatsApp acts as a source for much of the information shared on Twitter.
