A comprehensive review of cyberbullying-related content classification in online social media

TH Teng, KD Varathan, F Crestani - Expert Systems with Applications, 2024 - Elsevier
The emergence of online social networks (OSN) platforms removes communication barriers
that are essential to human life, catalyzing social networking growth. However, this …

Tweetment effects on the tweeted: Experimentally reducing racist harassment

K Munger - Political Behavior, 2017 - Springer
I conduct an experiment which examines the impact of group norm promotion and social
sanctioning on racist online harassment. Racist online harassment de-mobilizes the …

Analyzing labeled cyberbullying incidents on the instagram social network

H Hosseinmardi, SA Mattson, R Ibn Rafiq… - Social Informatics: 7th …, 2015 - Springer
Cyberbullying is a growing problem affecting more than half of all American teens. The main
goal of this paper is to study labeled cyberbullying incidents in the Instagram social network …

Detection of cyberbullying incidents on the instagram social network

H Hosseinmardi, SA Mattson, RI Rafiq, R Han… - arxiv preprint arxiv …, 2015 - arxiv.org
Cyberbullying is a growing problem affecting more than half of all American teens. The main
goal of this paper is to investigate fundamentally new approaches to understand and …

[HTML][HTML] AlexNet architecture based convolutional neural network for toxic comments classification

I Singh, G Goyal, A Chandel - Journal of King Saud University-Computer …, 2022 - Elsevier
Today online networking has become an indispensable part of life for people all over the
world. It is difficult for users to reduce their internet/online communications, as the flow of …

Cyberbullying severity detection: A machine learning approach

BA Talpur, D O'Sullivan - PloS one, 2020 - journals.plos.org
With widespread usage of online social networks and its popularity, social networking
platforms have given us incalculable opportunities than ever before, and its benefits are …

Towards comprehensive cyberbullying detection: A dataset incorporating aggressive texts, repetition, peerness, and intent to harm

N Ejaz, F Razi, S Choudhury - Computers in Human Behavior, 2024 - Elsevier
The increasing usage of social media networks has raised concerns about the growing
frequency of cyberbullying incidents. The definition of cyberbullying lacks universal …

When the timeline meets the pipeline: A survey on automated cyberbullying detection

F Elsafoury, S Katsigiannis, Z Pervez, N Ramzan - IEEE access, 2021 - ieeexplore.ieee.org
Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …

Hierarchical attention networks for cyberbullying detection on the instagram social network

L Cheng, R Guo, Y Silva, D Hall, H Liu - Proceedings of the 2019 SIAM …, 2019 - SIAM
Cyberbullying has become one of the most pressing online risks for young people and has
raised serious concerns in society. The emerging literature identifies cyberbullying as …

Prediction of cyberbullying incidents in a media-based social network

H Hosseinmardi, RI Rafiq, R Han, Q Lv… - 2016 IEEE/ACM …, 2016 - ieeexplore.ieee.org
Cyberbullying is a major problem affecting more than half of all American teens. Prior work
has largely focused on detecting cyberbullying after the fact. In this paper, we investigate the …