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Centre for Cyber Victim Counselling, India. Policing Cyber Hate, Cyber Threats and Cyber Terrorism. Imran Awan and Brian Blakemore editors, Ashgate, Surrey . Request PDF on ResearchGate | Policing cyber hate, cyber threats and cyber terrorism | What are cyber threats? This book brings together a diverse range of.
This book brings together a diverse range of multidisciplinary ideas to explore the extent of cyber threats, cyber hate and cyber terrorism. This ground-breaking text provides a comprehensive understanding of the range of activities that can be defined as cyber threats. It also shows how this activity forms in our communities and what can be done to try to prevent individuals from becoming cyber terrorists.
This text will be of interest to academics, professionals and practitioners involved in building social capital; engaging with hard to reach individuals and communities; the police and criminal justice sector as well as IT professionals. Reviews 'Contemporary threats to national security are increasingly non-physical. Those who seek to destroy our free and democratic way of life have infiltrated cyber space and they present a clear and present danger. This new title is required reading for all in authority who are charged with the responsibility of countering the cyber threat and is an important contribution to understanding this phenomenon.
Extremism, Counter-terrorism and Policing. Author Mr. Brian Blakemore. Books All Fiction Fiction Drama. World Collections.
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Books All Fiction Fiction Drama. This chapter critically engages with questions such as the extent to which Big Data can inform us about and help prevent radicalisation. It illuminates how patterns of social reaction on social media are nuanced and complicated, with different segments of the public interpreting the same developments very differently. The research team analysed Facebook statements made by Ethiopians, both in their homeland and abroad, in the run-up to and just after the general election on 24 May Welcome to CRCPress. The results of the classifier were optimal using a combination of probabilistic, rule-based, and spatial-based classifiers with a voted ensemble meta-classifier. To support the automatic detection of cyber hate online, specifically on Twitter, we build multiple individual models to classify cyber hate for a range of protected characteristics including race, disability and sexual orientation.
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