An Interactive Framework for Profiling News Media Sources

arXiv:2309.07384v2 Announce Type: replace
Abstract: The recent rise of social media has led to the spread of large amounts of fake and biased news, content published with the intent to sway beliefs. While detecting and profiling the sources that spread this news is important to maintain a healthy society, it is challenging for automated systems.
In this paper, we propose an interactive framework for news media profiling. It combines the strengths of graph based news media profiling models, Pre-trained Large …

abstract arxiv cs.cl fake framework interactive media news media profiling social social media society type while