Machine Learning

This 44 page resource is the comprehensive final report of the Umati Project that focused on monitoring hate speech online.

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This article presents methods for identifying the recruitment activities of violent groups within extremist social media websites.

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This paper investigates the possibility of forecasting spikes in social tension – defined by the UK police service as “any incident that would tend to show that the normal relationship between individuals or groups has seriously deteriorated” – through social media.

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This paper examines approaches for analyzing Twitter messages to distinguish between those covering real-world events and non-event messages. To validate this work the authors applied their process to 2.6 million Twitter messages.

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