{"id":38,"date":"2019-04-03T13:11:35","date_gmt":"2019-04-03T11:11:35","guid":{"rendered":"http:\/\/ANR-DFG-MPHASIS.loria.fr\/?page_id=38"},"modified":"2019-04-03T13:11:35","modified_gmt":"2019-04-03T11:11:35","slug":"abstract","status":"publish","type":"page","link":"https:\/\/anr-dfg-mphasis.loria.fr\/","title":{"rendered":"abstract"},"content":{"rendered":"
Within Western societies, the issue of migration is often accompanied by high levels of public anxiety and translates to a significant increase of the use of hate speech towards immigrants and minorities<\/strong>. Social media seem to be a fertile ground for hate speech. Focusing on the social dimension of hate speech, the project M-PHASIS seeks to study the patterns of hate speech related to migrants in user-generated content<\/strong>. The project will address the following aspects to provide a better understanding of the prevalence and emergence of hate speech in user-generated content in France and Germany:<\/p>\n Our research hypotheses<\/strong> are that hate speech against migrants in social media:<\/p>\n In this project, we therefore want to examine what types of contexts relate to which types of hate speech. The project embraces an interdisciplinary approach to its object and seeks to benefit from the inputs provided by computerized processing of hate speech in social media. The insights gained will allow producing a software app detecting and\/or blocking hateful comments automatically.<\/p>\n Resources<\/strong> developed during this project will be made accessible in Open Access Platforms <\/strong>to the scientific community. A web demonstrator will be implemented to validate the scientific developments achieved in the project.<\/p>\n","protected":false},"excerpt":{"rendered":" Within Western societies, the issue of migration is often accompanied by high levels of public anxiety and translates to a significant increase of the use of hate speech towards immigrants and minorities. Social media seem to be a fertile ground … Continuer la lecture \n
\n