Work

Towards a Corpus of Violence Acts in Arabic Social Media

Year: 2016

Type: conference-paper

Abstract: In this paper we present a new corpus of Arabic tweets that mention some form of violent event, developed to support the automatic identification of human rights abuses and different violent acts.The dataset was manually labelled for seven classes of violence using crowdsourcing.Only tweets classified with a high degree of agreement were included in the final dataset.

Source: Language Resources and Evaluation Conference (LREC)

DOI: 10.63317/4rooy5xv6w96

Authors: Ayman Alhelbawy, Udo Kruschwitz, Massimo Poesio

Institutions: Fayoum University, University of Sheffield, University of Essex

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: hybrid

Funder: University of Essex