Title: “RumourFlow – What is in a rumour: Combined Visual Analysis of Rumour Flow and User Activity”
Authors: Anh Dang, Abidalrahman Moh’d, Anatoliy Gruzd, Evangelos Milios, and Rosane Minghim
The spread of “rumours” in Online Social Networks (OSNs) has grown at an alarming rate. Consequently, thereis an increasing need to better understand the social and technological processes behind this trend. The first stepin detecting rumours is to identify and extract memes, a unit of information that can be spread from person toperson in OSNs. After identifying memes in OSNs, the next important step is to determine rumour-driven memesand analyze them to understand who spreads rumours online, why, and how. One of the most efficient ways toanalyze rumours is to visualize the paths and patterns of how rumours are spread and how users engage withrumours in OSNs. In this project, we propose RumourFlow, a dual-view visualization system to displaying multiplerepresentations of rumour spread in Reddit. This proposed system includes various interactive features so thatresearchers as well as end users can explore different aspects of rumour spread.