Machine Learning Methods for Detecting and Monitoring Extremist Information on the Internetстатья
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Дата последнего поиска статьи во внешних источниках: 27 ноября 2019 г.
Аннотация:In this paper, we employ machine learning methods to solve the problem of countering terrorism
and extremism by using information from the Internet. This problem involves retrieving electronic messages,
documents, and web resources that potentially contain information of terrorist or extremist nature, identifying
the structure of user groups and online communities that disseminate this information, monitoring and
modeling information flows in these communities, as well as assessing threats and predicting risks based on
monitoring results. We propose some original language-independent algorithms for pattern-based information
retrieval, thematic modeling, and prediction of message flow characteristics, as well as assessment and
prediction of potential risk coming from members of online communities by using data on the structure of
relations in these communities, which makes it possible to detect potentially dangerous users even without
full access to the content they distribute, e.g., through private channels and chat rooms.