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...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
BMC
2018-11-01
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| Series: | Crime Science |
| Subjects: | |
| Online Access: | http://link.springer.com/article/10.1186/s40163-018-0089-1 |