Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments

Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments

Abstract With the objective of facilitating and reducing analysis tasks undergone by law enforcement agencies and service providers, and using a sample of digital messages (i.e., tweets) sent via Twitter following the June 2017 London Bridge terror attack (N = 200,880), the present study introduces...

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Bibliographic Details
Main Authors: Fernando Miró-Llinares, Asier Moneva, Miriam Esteve
Format: Article
Language:English
Published: BMC 2018-11-01
Series:Crime Science
Subjects:
Metadata
Cyber place
Hate speech
Twitter
Random Forests
Online Access:http://link.springer.com/article/10.1186/s40163-018-0089-1

Internet

http://link.springer.com/article/10.1186/s40163-018-0089-1

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