Abstract Information and communication technology has evolved dramatically, and now the
majority of people are using internet and sharing their opinion more openly, which has led to …

Along with the increasing activity on social media, hate speech is getting out of control. Hate
speech detection can be done by utilizing text mining technology. There have been many …

Automatic hate speech detection on social media is becoming an outstanding concern in
modern countries. Indeed, hate speech towards people brings about violent acts and social …

Ableist microaggressions are subtle forms of discrimination that disabled people experience
daily, perpetuating inequalities and maintaining their ongoing marginalization. Despite the …

With the rapid growth in the number of users on social networking sites (SNS), harmful
content has also been fueled enormously over time. The purpose of harmful content is …

Nowadays, children have access to Internet on a regular basis. Just like the real world, the
Internet has many unsafe locations where kids may be exposed to inappropriate content in …

Social media provides a user-friendly platform for interested persons or groups to express
opinions and discuss freely their topics of interest which enhances the propagation of online …

Social media is a common medium for expression of views, discussion, sharing of content,
and promotion of products and ideas. These views are either polite or obscene. The growth …

Islamophobic hate speech is the indiscriminate negative attitude and behavior towards
Muslims and Islam. Speech indicating prejudice against Muslims has negatively impacted …

Hate Speech Detection in Social Media Using the Ensemble Learning Technique Page 1 P osted
on 11 Apr 2020 — CC-BY 4.0 — h ttps://doi.org/10.36227/techrxiv.22583857.v1 — This is a preprin …