The project Bridge is co-funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the Servicio Espanol para la Internacionalizacion de la Educacion (SEPIE). Neither the European Union nor the National Agency SEPIE can be held responsible for them. -- Number: 2025-1-ES01-KA220-HED-000359236 --
The BRIDGE Digital Museum brings together good practices, educational proposals and images that inspire reflection and action
Social Challenges
Analyse social challenges to intercultural dialogue, social inclusion and democratic cohesion
Good Practices
Discover experiences that generate social impact
Educational Space
Access teaching guides, activities and materials for the classroom
Documentary Photography
Explore the social challenges in a visual, reflective and educational way
BRIDGE Main Challenge: A.5. Discrimination, racism and sociocultural polarisation, including hate speech
The growing spread of online hate speech motivated by racism, xenophobia, Islamophobia, antisemitism and anti-Roma racism has created a social climate that undermines social cohesion and weakens the sense of belonging among vulnerable groups.
REAL UP combines social research and technological innovation to improve the identification and analysis of online hate speech and the institutional response to it. It develops studies and tools based on artificial intelligence and natural language processing, as well as counter-narrative strategies addressing racism, xenophobia, Islamophobia, antisemitism and anti-Roma racism.
REAL UP is a project that promotes the creation of innovative resources for identifying online hate speech and the development of counter-narrative strategies to combat it. Through the design of innovative technological tools, studies on artificial intelligence, support materials and training activities, the project provides resources to strengthen the detection, analysis and institutional response to hate speech in digital environments.
There is a growing proliferation of hate speech in digital environments, motivated by racism, xenophobia, Islamophobia, antisemitism and anti-Roma racism. A correlation can also be observed between the dissemination of certain narratives and their social acceptance as true, contributing to a climate that undermines social cohesion and weakens the sense of belonging among vulnerable groups.
Digital hate speech not only violates people’s dignity but also reinforces structures of inequality and historical prejudices that limit the equal democratic participation of migrant, Muslim, Roma and Jewish communities. It is therefore essential to equip institutions with technical tools and strategies to counter polarisation and protect democratic cohesion in new spaces for civic interaction.
REAL UP contributes to Challenge A.5 through research and the development of tools to detect and analyse hate speech in digital environments, alongside counter-narrative strategies. Its resources offer opportunities for institutional application and pedagogical transfer to address discrimination and online polarisation critically.
REAL UP combines applied social research and technological innovation. Based on an assessment of disinformation and online hate speech, it develops innovative studies on IT tools and counter-narrative strategies, as well as training materials designed to strengthen institutional and societal capacity to address this phenomenon.
Studies and IT tools for detecting and analysing online hate speech
Digital publication
A set of five studies on IT tools for identifying and analysing online hate speech. They document a monitoring tool, its user manual, social tagging systems, HaterCrawl for web crawling and the development of a detection algorithm. The studies do not imply that each tool is available as a separate public application.
Researchers, Professionals, Policy Makers
Studies and counter-narrative strategies based on natural language processing (NLP)
Digital publication
Two studies on counter-narrative strategies: one examines the profiles of those who produce and receive hate speech in order to tailor responses; the other examines tools for generating counter-narratives through natural language processing (NLP). They provide a technical and methodological basis for producing contextualised, non-offensive responses.
Teaching staff, Researchers, Professionals, Policy Makers
CONAN-SP and CONAN-MT-SP digital corpora
Educational resource
Digital research corpora on hate speech and counter-narratives in Spanish. CONAN-SP contains 238 discourse–response pairs and CONAN-MT-SP comprises 3,635 instances. These datasets can be used to analyse and evaluate automated responses, subject to their specific access and reuse conditions.
Teaching staff, Students, Researchers, Professionals
Upstander discourse guide and map of good practices.
Educational resource
A guide to upstander discourse and a map of good practices bringing together guidance and examples for responding critically to hate speech through counter-narratives. They provide support materials for awareness-raising, training and the design of institutional and socio-educational responses.
Teaching staff, Students, Researchers, Professionals, Policy Makers, General Public
https://www.inclusion.gob.es/eu/web/oberaxe/w/proyecto-real-up
REAL UP research and transferability reports
Digital publication
Project documentation analysing hate speech, counter-narrative strategies and the transferability of REAL UP results to other institutional and European contexts. This resource includes reports produced within the project and excludes external sources used to support the initial diagnosis.
Teaching staff, Researchers, Professionals, Policy Makers
https://real-up.eu/wp-content/uploads/2024/06/Informe_transferabilidad_EN_ES_FINAL.pdf
Project audiovisual resources and training materials
Educational resource
Recordings of seminars and conferences, technical presentations and short informative audiovisual pieces associated with the project. They address the detection of hate speech using artificial intelligence and upstander response strategies and can be reused in training and awareness-raising activities.
Teaching staff, Students, Researchers, Professionals, Policy Makers, General Public