in conjunction with the 10th ACM International Conference on Web Search and Data Mining (WSDM 2017)
Cyber Deviance refers to the deliberate misuse of technical infrastructure for subversive purposes and includes (but is not limited to): the spreading of extremist propaganda, antagonistic or hateful commentary; the distribution of malware; online fraud and identity theft; denial of service attacks; etc. Better understanding of such phenomena on the Web (including social media) allows for their early detection and underpins the development of effective models for predicting cyber security threats.
The CyberDD 2017 workshop will focus on two research tracks: (i) Detecting and Mining Terrorist Online Content and (ii) Advances in Data Science for Cyber Security and Risk on the Web. The efforts by major Web search engines and social media platforms on addressing terrorist and violent extremist content that may appear in their services acutely demonstrate both the important challenges faced by Web Search and Data Mining practitioners, as well as the pressing need for research towards developing effective and efficient solutions. Moreover, the exploitation of the recent advances in Data Science for understanding, detecting and forecasting cybercrime requires interdisciplinary approaches that blend them with Criminology research so as to gain true insights based on theories, methods and data.
CyberDD 2017 targets researchers and practitioners in Web search, data mining, security informatics, multimedia understanding, social media analysis, machine learning, and digital forensics with particular interest on cyber security. It also targets industry representatives from search engines and social media platforms that aim to tackle the challenges of terrorist and violent extremist content appearing on their services, as well as criminologists and representatives from law enforcement agencies interested in the recent advances in the cyber deviance detection and understanding.