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Topic Modeling of StormFront Forum Posts

Authors:
Grigorii Nazarko
Richard Frank
Magnus Westerlund

Keywords: StormFront; topic model; information extraction; NLP; LDA

Abstract:
Radicalized communities are actively using the internet to preach their ideas within society. Hence, it is crucial to research the content of such communities to understand their agenda and potentially take actions. The discussion is spread out in different forums on the Internet, but in this study, we used natural language processing technologies for revealing topics discussed in the oldest right-wing forum StormFront. As a result, we found the co-occurrence of discussed topics and real-world events, which means that the method can be used to track the agenda and changes in the community.

Pages: 37 to 43

Copyright: Copyright (c) IARIA, 2021

Publication date: April 18, 2021

Published in: conference

ISSN: 2308-4197

ISBN: 978-1-61208-847-1

Location: Porto, Portugal

Dates: from April 18, 2021 to April 22, 2021