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[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 …
Cyber-aggression, cyberbullying, and cyber-grooming: A survey and research challenges
Cyber-aggression, cyberbullying, and cyber-grooming are distinctive and similar
phenomena that represent the objectionable content appearing on online social media …
phenomena that represent the objectionable content appearing on online social media …
Deep learning for detecting cyberbullying across multiple social media platforms
Harassment by cyberbullies is a significant phenomenon on the social media. Existing works
for cyberbullying detection have at least one of the following three bottlenecks. First, they …
for cyberbullying detection have at least one of the following three bottlenecks. First, they …
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 …
Sok: Hate, harassment, and the changing landscape of online abuse
We argue that existing security, privacy, and antiabuse protections fail to address the
growing threat of online hate and harassment. In order for our community to understand and …
growing threat of online hate and harassment. In order for our community to understand and …
Characterizing and detecting hateful users on twitter
Current approaches to characterize and detect hate speech focus on content posted in
Online Social Networks (OSNs). They face shortcomings to get the full picture of hate speech …
Online Social Networks (OSNs). They face shortcomings to get the full picture of hate speech …
Mean birds: Detecting aggression and bullying on twitter
In recent years, bullying and aggression against social media users have grown
significantly, causing serious consequences to victims of all demographics. Nowadays …
significantly, causing serious consequences to victims of all demographics. Nowadays …
Offensive language identification in Greek
Z Pitenis, M Zampieri, T Ranasinghe - ar** with abusive content and …
Designing toxic content classification for a diversity of perspectives
In this work, we demonstrate how existing classifiers for identifying toxic comments online
fail to generalize to the diverse concerns of Internet users. We survey 17,280 participants to …
fail to generalize to the diverse concerns of Internet users. We survey 17,280 participants to …
Vulnerable community identification using hate speech detection on social media
Z Mossie, JH Wang - Information Processing & Management, 2020 - Elsevier
With the rapid development in mobile computing and Web technologies, online hate speech
has been increasingly spread in social network platforms since it's easy to post any …
has been increasingly spread in social network platforms since it's easy to post any …