A Multiplatform Multimodal Machine Learning Based Study of Misinformation Online

基于多平台多模态机器学习的在线错误信息研究

• 批准号: 2440362
• 金额: --
• 依托单位: University of Bristol
• 依托单位国家: 英国
• 项目类别: Studentship
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 未结题
• 来源: https://gtr.ukri.org/projects?ref=studentship-2440362
• 关键词: Multiplatform; Multimodal; Machine; Learning; Based

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.

网络上的错误信息已经无处不在。在多个平台、社交网络和网站上，在线错误信息正日益传播。此外，它通常采用文本以外的形式（如图像或视频），这在错误信息（或假新闻）检测中研究得很少。本研究将寻求使用最先进的多模态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。