Introduction: online jihadist magazines

Automatic Detection of Online Jihadist Hate Speech

We have developed a system that automatically detects online jihadist hate speech with over 80% accuracy, by using techniques from Natural Language Processing and Machine Learning. The system is trained on a corpus of 45,000 subversive Twitter messages collected from October 2014 to December 2016. We present a qualitative and quantitative analysis of the jihadist rhetoric in the corpus, examine...

From Keywords to Discursive Legitimation: Representing 'kuffar' in the Jihadist Propaganda Magazines

The research in this paper was carried out as part of a research project funded by Swansea University and directed by professors Stuart Macdonald and Nuria Lorenzo-Dus. The project examined jihadist propaganda from different disciplinary perspectives, including Terrorism Studies and Linguistics. All available online publications of five jihadist magazines released between January 2009 and the e...

Online Women’s Magazines: Differences in Perceptions between Print and Online Magazines among Female Readers

Popular women’s magazines have gone online and are gaining increased readership because of their interactive content, videos, and discussion forums. This study examines women’s perceptions and behaviors toward online women’s magazines based on an online survey of 257 female magazine readers. We found that, compared with their print counterparts, online magazines were perceived to be easier to r...

Layout Definition of Online Magazines with Splitter Components

The capabilities of current mobile devices and the quality of their screens reached a level, where online reading experience competes with the printed media. Commercially printed magazines and newspapers commonly apply different grid-based page designs. In case of the online magazines the variable conditions, e.g. screen resolution, user preferences and the actual content require to provide ada...

Introduction to Online Optimization