In this world of angst and anger, how can we detect criminal intentions and hate speech in non-physical places? Bio Med Central brought this interesting information to our attention in their article, “Hate is in the air! But where? Introducing an algorithm to detect hate speech in digital microenvironments.”
In a new paper published in Crime Science, researchers define what digital microenvironments are and introduce a new algorithm to detect hate speech that feeds solely on metadata, unlike traditional designs based on semantic and syntactic approaches.
The Cybercrime and Place theoretical framework has been developed to infer the analysis of crime places into cyberspace. The connotation that environmental criminology gives to the concept of place goes beyond the physical space.
However, hate speech detection poses two main challenges. It is complex to define and therefore to delimit. And the dynamism of language converts it into an extraordinarily adaptive phenomenon. The developers have used an alternative approach to overcome the limitations of these approaches.
Melody K. Smith
Sponsored by Access Innovations, the world leader in thesaurus, ontology, and taxonomy creation and metadata application.
