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 …
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 …
Hate is not binary: Studying abusive behavior of# gamergate on twitter
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 …
prominent, and manifested in many different forms on social media. However, there is little …
Measuring# GamerGate: A tale of hate, sexism, and bullying
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 …
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
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 …
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 …
platforms have given us incalculable opportunities than ever before, and its benefits are …
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 …
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 …
cybercrimes such as cyberbullying are many. This study deals with automatic cyberbullying …
Sentiment informed cyberbullying detection in social media
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 …
from various mental issues, ranging from depression, loneliness, anxiety to low self-esteem …
[PDF][PDF] Twitter bullying detection
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 …
leverage the power of sentiment analysis to detect bullying instances in Twitter. We are …