Hate speech, racism and xenophobia: Alert Mechanisms and Response, analysis of the Upstander speech). Website: https://real-up.eu/

ended

Objective: The general objective of the project is to enhance the capacities of stat e authorities to identify, analyse, monitor and evaluate online hate speech in order to develop and strengthen counter-narrative strategies (upstander discourse) against hate speech motivated by racism, xenophobia, Islamophobia, anti-Semitism and anti-Gypsyism by: discussing and generating a map of good practices and didactic and effective tools for hate-speech counter-narrative on the web; and describing the profiles of perpetrators and victims, through which the intensity, severity, distribution and potential impact of hate speech can be assessed, in order to establish recommendations for action related to upstander discourse. Specific objectives are: - To analyze upstander speech as an effective tool for counter-narrative and countering hate speech online. - To establish and/or strengthen synergies between institutional actors and key stakeholders (including civil society and internet platforms), to conduct an effective counter-narrative campaign against hate speech on social networks, to discourage its use. - To disseminate the project and analyze the transferability of its main products, in order to multiply the impacts, both at national level and in other EU Member States. Activities - Review the available work done in discourse and communication studies on racism, counter-narratives and performative contradictions. - Develop a mapping of good practices on responses to hate online. - Mapping didactic tools for school education against hate. - Updating the ALRECO algorithm to the new needs of the REAL UP Project. - Counter-narrative automatization process: incorporation of automatic response algorithms to online hate speech. - Perpetrator and victim profiling: study of the profile of the perpetrators of hate speech in order to adapt the counter-narrative to each type of category. Also the profile of the victim to fight hate speech more effectively.