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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 …
Xbully: Cyberbullying detection within a multi-modal context
Over the last decade, research has revealed the high prevalence of cyberbullying among
youth and raised serious concerns in society. Information on the social media platforms …
youth and raised serious concerns in society. Information on the social media platforms …
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 …
Cyberbullying ends here: Towards robust detection of cyberbullying in social media
The potentially detrimental effects of cyberbullying have led to the development of numerous
automated, data-driven approaches, with emphasis on classification accuracy …
automated, data-driven approaches, with emphasis on classification accuracy …
[PDF][PDF] BRUMS at HASOC 2019: Deep Learning Models for Multilingual Hate Speech and Offensive Language Identification.
In this paper, we describe the BRUMS entry to the Hate Speech and Offensive Content
Identification in Indo-European Languages (HASOC) shared task 2019. The HASOC …
Identification in Indo-European Languages (HASOC) shared task 2019. The HASOC …
Detection of cyberbullying patterns in low resource colloquial Roman Urdu microtext using natural language processing, machine learning, and ensemble techniques
Social media platforms have become a substratum for people to enunciate their opinions
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …
and ideas across the globe. Due to anonymity preservation and freedom of expression, it is …
[PDF][PDF] A Review on Non-Supervised Approaches for Cyberbullying Detection.
The current period is dominated by social networks in daily life. Despite the several efforts
and research practices done to overcome the issue of cyberbullying, it still presents a …
and research practices done to overcome the issue of cyberbullying, it still presents a …
[HTML][HTML] Multi-class imbalance in text classification: A feature engineering approach to detect cyberbullying in twitter
Twitter enables millions of active users to send and read concise messages on the internet
every day. Yet some people use Twitter to propagate violent and threatening messages …
every day. Yet some people use Twitter to propagate violent and threatening messages …
Assessing the Impact of Online Harassment on Youth Mental Health in Private Networked Spaces
Online harassment negatively impacts mental health, with victims expressing increased
concerns such as depression, anxiety, and even increased risk of suicide, especially among …
concerns such as depression, anxiety, and even increased risk of suicide, especially among …
Robust cyberbullying detection with causal interpretation
Cyberbullying poses serious threats to preteens and teenagers, therefore, understanding
the incentives behind cyberbullying is critical to prevent its happening and mitigate the …
the incentives behind cyberbullying is critical to prevent its happening and mitigate the …