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SACTI 2019 addresses an interdisciplinary research field involving Web Intelligence, Security Informatics, Big Data Analytics, Deep Learning/Machine Learning and Cybersecurity, and aims to investigate the deliberate misuse of technical infrastructure for subversive purposes, including (but not limited to): the spreading of extremist propaganda, antagonistic or hateful commentary; the distribution of malware; denial of service attacks; etc. Better understanding of such phenomena on the Web (including social media and the Dark Web) allows for their early detection and underpins the development of effective models for predicting cyber-enabled or cyber-dependent security threats.

The efforts by major Web search engines and social media platforms on addressing objectionable extremist material (e.g., terrorist and violent extremist content) that may appear on their services acutely demonstrate both the important challenges faced by Web Intelligence practitioners, as well as the pressing need for research towards developing effective and efficient solutions. Moreover, the exploitation of the recent advances in Data Analytics for understanding, detecting and forecasting cybercrime requires interdisciplinary approaches so as to gain true insights based on theories, methods, and data.

The workshop targets researchers and practitioners in Web intelligence, data mining, multimedia understanding, social media analysis, and deep learning/machine learning with particular interest on (cyber) security analytics and threat detection on the Web, as well as representatives from law enforcement agencies interested in the recent advances in understanding, preventing, and responding to (cyber) security threats.