A Multiplatform Multimodal Machine Learning Based Study of Misinformation Online

网上虚假信息在网上已经变得无处不在。在多个平台、社交网络和网站上，在线错误信息正在日益传播。此外，它通常采取文本(如图像或视频)以外的模式的形式，这在错误信息(或假新闻)检测中研究要少得多。这项研究将寻求使用最先进的多模式机器学习方法来更好地检测和理解在线平台上的错误信息。

Online misinformation has become pervasive online. Across multiple platforms, social networks and websites, online misinformation is increasingly being spread. Further, it often takes the form of modalities other than text (such as image or video), which is much less studied within misinformation (or fake news) detection. This research will seek to use state of the art multimodal machine learning approaches to better detect and understand misinformation across online platforms.