A new direction in social network analysis: Online social network analysis problems and applications
The use of online social networks has made significant progress in recent years as the use
of the Internet has become widespread worldwide as the technological infrastructure and the …
of the Internet has become widespread worldwide as the technological infrastructure and the …
Predicting cyberbullying on social media in the big data era using machine learning algorithms: review of literature and open challenges
Prior to the innovation of information communication technologies (ICT), social interactions
evolved within small cultural boundaries such as geo spatial locations. The recent …
evolved within small cultural boundaries such as geo spatial locations. The recent …
A measurement study of hate speech in social media
M Mondal, LA Silva, F Benevenuto - … of the 28th ACM conference on …, 2017 - dl.acm.org
Social media platforms provide an inexpensive communication medium that allows anyone
to quickly reach millions of users. Consequently, in these platforms anyone can publish …
to quickly reach millions of users. Consequently, in these platforms anyone can publish …
A unified deep learning architecture for abuse detection
Hate speech, offensive language, sexism, racism, and other types of abusive behavior have
become a common phenomenon in many online social media platforms. In recent years …
become a common phenomenon in many online social media platforms. In recent years …
Approaches to automated detection of cyberbullying: A survey
Research into cyberbullying detection has increased in recent years, due in part to the
proliferation of cyberbullying across social media and its detrimental effect on young people …
proliferation of cyberbullying across social media and its detrimental effect on young people …
A multichannel deep learning framework for cyberbullying detection on social media
Online social networks (OSNs) play an integral role in facilitating social interaction; however,
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
these social networks increase antisocial behavior, such as cyberbullying, hate speech, and …
Temperature-aware microarchitecture
With power density and hence cooling costs rising exponentially, processor packaging can
no longer be designed for the worst case, and there is an urgent need for runtime processor …
no longer be designed for the worst case, and there is an urgent need for runtime processor …
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 …
goal of this paper is to study labeled cyberbullying incidents in the Instagram social network …
Detecting cyberbullying and cyberaggression in social media
Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting
people across all demographics. More than half of young social media users worldwide …
people across all demographics. More than half of young social media users worldwide …
[HTML][HTML] Early detection of cyberbullying on social media networks
MF López-Vizcaíno, FJ Nóvoa, V Carneiro… - Future Generation …, 2021 - Elsevier
Cyberbullying is an important issue for our society and has a major negative effect on the
victims, that can be highly damaging due to the frequency and high propagation provided by …
victims, that can be highly damaging due to the frequency and high propagation provided by …