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Counter-bot: Artificial Intelligence combating racist hate speech online

The aim of the project is to create a scientifically sound basis for the implementation of a counter-bot that automatically generates effective counter-speech against racist hate speech online. The inductively identified indications of characteristic structures of hate speech online will be analyzed linguistically and statistically to provide a useful starting point for the future implementation of a counter-bot.

For this purpose, ZARA will provide guidance for drawing a sample of suitable postings from the large number of racist postings on Twitter already collected by ZARA’s counselling center #GegenHassimNetz. During the first step of the analysis a category scheme will be developed to make the relevant characteristics of the postings accessible for statistical analysis. In a second step, characteristic patterns in the sequence of postings will be scientifically identified on the basis of the categories previously determined. These two sub-steps allow for an analytical understanding of the structure of hate postings and the effect of counter-speech. Such patterns will play a pivotal role in determining the mode of operation of the counter-bot and will become an integral part of the functional specification document, which is the basis for the technical realization of the counter-bot in a follow-up project.

Country: 
Österreich
Persons involved: 

Barbara Liegl

Contact persons: 
Lead Organisation: 
Ludwig Boltzmann Institute of Human Rights
Partner organisations: 
ZARA – Zivilcourage und Anti-Rassismus-Arbeit, Institut für Sprachwissenschaft der Universität Wien, Institut für Psychologie der Universität Klagenfurt, TUNNEL23
Project start: 
01/2020
Project end: 
12/2020
Project completed: 
Yes
Funded by: 
MA 7 – Kulturabteilung der Stadt Wien
Team: 
Anti-Discrimination, Diversity and Asylum