A human-centered systematic literature review of cyberbullying detection algorithms
Cyberbullying is a growing problem across social media platforms, inflicting short and long-
lasting effects on victims. To mitigate this problem, research has looked into building …
lasting effects on victims. To mitigate this problem, research has looked into building …
[HTML][HTML] Session-based cyberbullying detection in social media: A survey
Cyberbullying is a pervasive problem in online social media, where a bully abuses a victim
through a social media session. By investigating cyberbullying perpetrated through social …
through a social media session. By investigating cyberbullying perpetrated through social …
Automatic detection of cyberbullying in social media text
While social media offer great communication opportunities, they also increase the
vulnerability of young people to threatening situations online. Recent studies report that …
vulnerability of young people to threatening situations online. Recent studies report that …
Sosnet: A graph convolutional network approach to fine-grained cyberbullying detection
Amidst the COVID-19 pandemic, cyberbullying has become an even more serious threat.
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …
Our work aims to investigate the viability of an automatic multiclass cyberbullying detection …
When the timeline meets the pipeline: A survey on automated cyberbullying detection
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 …
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
Exploring stylometric and emotion-based features for multilingual cross-domain hate speech detection
In this paper, we describe experiments designed to evaluate the impact of stylometric and
emotion-based features on hate speech detection: the task of classifying textual content into …
emotion-based features on hate speech detection: the task of classifying textual content into …
Cyberbullying detection in social networks using Bi-gru with self-attention mechanism
With the propagation of cyberbullying in social networks as a trending subject, cyberbullying
detection has become a social problem that researchers are concerned about. Developing …
detection has become a social problem that researchers are concerned about. Developing …
Cyberbullying detection with fairness constraints
O Gencoglu - IEEE Internet Computing, 2020 - ieeexplore.ieee.org
Cyberbullying is a widespread adverse phenomenon among online social interactions in
today's digital society. While numerous computational studies focus on enhancing the …
today's digital society. While numerous computational studies focus on enhancing the …
Effectiveness of Artificial Intelligence–Based Cyberbullying Interventions From Youth Perspective
Cyberbullying on social media continues to pose a significant problem for children and
young people, and platforms increasingly rely on artificial intelligence (AI) to address it …
young people, and platforms increasingly rely on artificial intelligence (AI) to address it …
[PDF][PDF] Text mining techniques for cyberbullying detection: state of the art
R Bayari, A Bensefia - Advances in Science, Technology …, 2021 - pdfs.semanticscholar.org
The dramatic growth of social media during the last years has been associated with the
emergence of a new bullying types. Platforms such as Facebook, Twitter, YouTube, and …
emergence of a new bullying types. Platforms such as Facebook, Twitter, YouTube, and …