论文标题
使用最小的监督了解Facebook上的Covid-19-19疫苗活动
Understanding COVID-19 Vaccine Campaign on Facebook using Minimal Supervision
论文作者
论文摘要
在社交媒体时代，数十亿个互联网用户共享信息和意见，大流行的负面影响不仅限于物理世界。它引起了不完整，有偏见和不正确的信息的激增，也称为不良的信息。这种全球的不良危害通过创造恐慌，疫苗犹豫和分散的社会反应来控制大流行的措施。像Facebook这样的平台使广告客户能够调整其消息传递，以针对不同的人口统计数据，并根据其内容来减轻或加剧不良问题。在本文中，我们提出了一个最少有监督的多任务学习框架，以通过识别广告主题和道德基础来了解与Covid疫苗有关的Facebook上的消息传递。此外，我们对社交媒体上的疫苗活动的消息传递策略进行了更细微的主题分析，以便决策者可以在大流行控制方面做出更好的决定。
In the age of social media, where billions of internet users share information and opinions, the negative impact of pandemics is not limited to the physical world. It provokes a surge of incomplete, biased, and incorrect information, also known as an infodemic. This global infodemic jeopardizes measures to control the pandemic by creating panic, vaccine hesitancy, and fragmented social response. Platforms like Facebook allow advertisers to adapt their messaging to target different demographics and help alleviate or exacerbate the infodemic problem depending on their content. In this paper, we propose a minimally supervised multi-task learning framework for understanding messaging on Facebook related to the COVID vaccine by identifying ad themes and moral foundations. Furthermore, we perform a more nuanced thematic analysis of messaging tactics of vaccine campaigns on social media so that policymakers can make better decisions on pandemic control.
