Discriminatory Speech on Digital Platform a case study of Twitter (Gender, Race, Politics, Sexuality)
Date
2020
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Tartu Ülikool
Abstract
In recent years communication via social media has become more personal and available for every
individual or group of people irrespective of their interests. This has enable people express
their thoughts, ideas and views freely. Though it brings lots of ease to communication, it also
gives rise to discriminatory challenges. Online hate is a major example of such challenge.As
these social media users grow, so does the impact of hate speech. Despite the magnitude and
growth level of research in this field there is a hug gap in understanding the hate speech and how
it affects certain aspects of human life’s e.g race,gender,sexuality, politics. This has prompted
researchers to apply techniques like social networks analysis to detect hate groups. But in this
research we strongly believe that the content of hate matters as well.Thus in this paper we apply
sentiment analysis and topic modelling to understand the discuss of hate as it affect race, gender,
sexuality, politics. Our result shows that the content plays an important role in preventing
and eradicating discrimination of these platforms.
Description
Keywords
Discriminatory speech, Sentiment Analysis, Topic Modelling, Hate speech