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R2: EXPLANATORY GUIDE OF THE ANALYSIS OF THE LEVEL OF INCIDENCE OF HATE SPEECH IN THE CLASSROOM

This guide lays the theoretical, educational, and mathematical foundations to define the algorithm used by the VIRTUAL ENVIRONMENT FOR THE DETECTION OF BULLYING AND HATE SPEECH IN THE CLASSROOM (R1) to generate the report of analysis of the incidence of Hate Speech in the classroom.

To do this, it establishes the structure of the classroom (single leadership, shared, multiple opinion groups, etc.), and according to this, it determines the parameters of incidence of each of the 14 types of Hate Speech analyzed by this project, providing specific resources for each of them.

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This web platform is a result of the project: “EDUCATIONAL INCLUSION INTO DIVERSITY”.

This project has been funded with support from the European Commission.

This publication reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.

All the images used are free of rights and have been created within the project.

This publication is available in Open Access under the Attribution-ShareAlike 3.0 IGO (CC-BY-NC-ND 3.0 IGO) license (http:/ creativecommons.org/licenses/by-sa/3.0/igo/).

By using the contents of this publication, the users accept to be bound by the terms of use of the ERASMUS PLUS GUIDE 2020 and also of REDTREE MAKING PROJECTS COOP. V.

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