Characterizing the Spread of Exaggerated Health News Content over Social Media

Jasabanta Patro, Sabyasachee Baruah, Vivek Gupta, Monojit Choudhury, Pawan Goyal, Animesh Mukherjee

Abstract: In this paper, we consider a dataset comprising press releases about health research from different universities in the UK along with a corresponding set of news articles. We find that tweets sharing exaggerated news have a significantly different linguistic structure from those that share non-exaggerated news.