Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …

Social media platforms and microblogging websites have gained accelerated popularity
during the past few years. These platforms are used for expressing views and opinions …

Objective: The primary intent of this paper is to review related studies that are more
corresponding to the detection offive variants of cyberbullying text, such as abusive, hateful …

The abstract outlines the problem of toxic comments on social media platforms, where
individuals use disrespectful, abusive, and unreasonable language that can drive users …

Toxic comment classification can be a solution to reduce the impact of one of these forms of
online harassment, where the term frequency-inverse document frequency (TF-IDF) …

Nigerians have, over the years, lived with mutual distrust, often escalated by ethnoreligious
sentiments and sectional profiling. Government policies, for example, are at times seen …

Abstract This study introduces “Specialis Revelio,” a sophisticated text pre-processing
module aimed at enhancing the detection of disguised toxic content in online …

In this work, from YouTube News-show multimodal dataset with dyadic speakers having
heated discussions, we analyze the toxicity through audio-visual signals. Firstly, as different …

In recent years, there has been significant growth in information technology and a disruptive
transformation of social media. Popular websites like Facebook, Twitter, and Instagram have …

Today, especially in this era of data, everything is becoming more mechanized. Data is the
new electricity of the globe. This knowledge may help a lot of businesses in their marketing …