Aggression detection in social media from textual data using deep learning models
It is an undeniable fact that people excessively rely on social media for effective
communication. However, there is no appropriate barrier as to who becomes a part of the …
communication. However, there is no appropriate barrier as to who becomes a part of the …
Automatic identification of harmful, aggressive, abusive, and offensive language on the web: A survey of technical biases informed by psychology literature
The automatic detection of conflictual languages (harmful, aggressive, abusive, and
offensive languages) is essential to provide a healthy conversation environment on the Web …
offensive languages) is essential to provide a healthy conversation environment on the Web …
Weakly supervised cyberbullying detection using co-trained ensembles of embedding models
Social media has become an inevitable part of individuals personal and business lives. Its
benefits come with various negative consequences. One major concern is the prevalence of …
benefits come with various negative consequences. One major concern is the prevalence of …
Analyzing and learning the language for different types of harassment
THIS ARTICLE USES WORDS OR LANGUAGE THAT IS CONSIDERED PROFANE,
VULGAR, OR OFFENSIVE BY SOME READERS. The presence of a significant amount of …
VULGAR, OR OFFENSIVE BY SOME READERS. The presence of a significant amount of …
Weakly supervised cyberbullying detection with participant-vocabulary consistency
Online harassment and cyberbullying are becoming serious social health threats damaging
people's lives. This phenomenon is creating a need for automated, data-driven techniques …
people's lives. This phenomenon is creating a need for automated, data-driven techniques …
So-haTRed: A novel hybrid system for Turkish Hate Speech Detection in Social Media with Ensemble Deep Learning improved by BERT and clustered-Graph …
Hate speech on online platforms, characterized by discriminatory language targeting
individuals or groups, poses significant harm and necessitates robust detection methods for …
individuals or groups, poses significant harm and necessitates robust detection methods for …
A mobile-based system for preventing online abuse and cyberbullying
A negative consequence of the proliferation of social media is the increase in online abuse.
Bullying, once restricted to the playground, has found a new home on social media. Online …
Bullying, once restricted to the playground, has found a new home on social media. Online …
Dynamic, incremental, and continuous detection of cyberbullying in online 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 …
Soft computing for abuse detection using cyber‐physical and social big data in cognitive smart cities
The internet of things (IoT) and the smart city crusade has seen an exponential increase in
the number of data points we collect. Cities can use this data for an exceedingly …
the number of data points we collect. Cities can use this data for an exceedingly …
Identification of profane words in cyberbullying incidents within social networks
The popularity of social networking sites (SNS) has facilitated communication between
users. The usage of SNS helps users in their daily life in various ways such as sharing of …
users. The usage of SNS helps users in their daily life in various ways such as sharing of …