Using tweets from 2009-2021, researchers have developed a predictive model that can detect extremist users and content related to the militant group 'Islamic State' (ISIS). Their work could help social media companies identify and eventually restrict such accounts in a timelier manner and abate their impact on online communities, they said. The researchers from the Pennsylvania State University, US, identified potential propaganda messages and their characteristics and developed an image classifier to find the most frequent categories of images attached to tweets about ISIS. "The Islamic State group and its affiliates, sympathisers and followers continue to manipulate online communities to spread extremist propaganda," said Younes Karimi, a graduate student at the university pursuing a doctorate in informatics and the first author of the paper published in the journal Social Media Analysis and Mining. Apart from the ISIS-linked tweets they used for analysis, the researchers further Read The Rest at :