A Word Cloud Model based on Hate Speech in an Online Social Media Environment

• Published in: Majallat Baghdād lil-ʻulūm Vol. 18; no. 2(Suppl.); p. 937
• Main Authors: Ibrahim, Valentina, Abu Bakar, Juhaid, Harun, Nor Hazlyna, Abdulateef, Alaa Fareed
• Format: Journal Article
• Language: English
• Published: College of Science for Women, University of Baghdad 20.06.2021
• Subjects: hate crime; Python; social network; word cloud
• ISSN: 2078-8665; 2411-7986
• DOI: 10.21123/bsj.2021.18.2(Suppl.).0937

Social media is known as detectors platform that are used to measure the activities of the users in the real world. However, the huge and unfiltered feed of messages posted on social media trigger social warnings, particularly when these messages contain hate speech towards specific individual or community. The negative effect of these messages on individuals or the society at large is of great concern to governments and non-governmental organizations. Word clouds provide a simple and efficient means of visually transferring the most common words from text documents. This research aims to develop a word cloud model based on hateful words on online social media environment such as Google News. Several steps are involved including data acquisition and pre-processing, feature extraction, model development, visualization and viewing of word cloud model result. The results present an image in a series of text describing the top words. This model can be considered as a simple way to exchange high-level information without overloading the user's details.