Detecting cyberbullying and cyberaggression in social media

D Chatzakou, I Leontiadis, J Blackburn… - ACM Transactions on …, 2019 - dl.acm.org
Cyberbullying and cyberaggression are increasingly worrisome phenomena affecting
people across all demographics. More than half of young social media users worldwide …

Mean birds: Detecting aggression and bullying on twitter

D Chatzakou, N Kourtellis, J Blackburn… - Proceedings of the …, 2017 - dl.acm.org
In recent years, bullying and aggression against social media users have grown
significantly, causing serious consequences to victims of all demographics. Nowadays …

Hate is not binary: Studying abusive behavior of# gamergate on twitter

D Chatzakou, N Kourtellis, J Blackburn… - Proceedings of the 28th …, 2017 - dl.acm.org
Over the past few years, online bullying and aggression have become increasingly
prominent, and manifested in many different forms on social media. However, there is little …

Measuring# GamerGate: A tale of hate, sexism, and bullying

D Chatzakou, N Kourtellis, J Blackburn… - Proceedings of the 26th …, 2017 - dl.acm.org
Over the past few years, online aggression and abusive behaviors have occurred in many
different forms and on a variety of platforms. In extreme cases, these incidents have evolved …

Cyberbullying ends here: Towards robust detection of cyberbullying in social media

M Yao, C Chelmis, DS Zois - The World Wide Web Conference, 2019 - dl.acm.org
The potentially detrimental effects of cyberbullying have led to the development of numerous
automated, data-driven approaches, with emphasis on classification accuracy …

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 …

Deep learning for detecting cyberbullying across multiple social media platforms

S Agrawal, A Awekar - European conference on information retrieval, 2018 - Springer
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 …

Improving cyberbullying detection using Twitter users' psychological features and machine learning

V Balakrishnan, S Khan, HR Arabnia - Computers & Security, 2020 - Elsevier
Empirical evidences linking users' psychological features such as personality traits and
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …

Sentiment informed cyberbullying detection in social media

H Dani, J Li, H Liu - Machine Learning and Knowledge Discovery in …, 2017 - Springer
Cyberbullying is a phenomenon which negatively affects the individuals, the victims suffer
from various mental issues, ranging from depression, loneliness, anxiety to low self-esteem …

[PDF][PDF] Twitter bullying detection

H Sanchez, S Kumar - ser. NSDI, 2011 - researchgate.net
Data mining of Social networks is a new but interesting field within Data Mining. We
leverage the power of sentiment analysis to detect bullying instances in Twitter. We are …