HiPo: Detecting Fake News via Historical and Multi-Modal Analyses of Social Media Posts

In recent years, fake news has been a primary concern as it plays a significant role in influencing the political, economic, and social spheres. The scientific community has proposed several solutions to detect such fraudulent information. However, such solutions are unsuitable for social media posts since they cannot extract sufficient information from one-line textual and graphical content or are highly dependent on prior knowledge, which may be unavailable in the case of unprecedented events (e.g., breaking news).