Cyber-aggression, cyberbullying, and cyber-grooming: A survey and research challenges
M Mladenović, V Ošmjanski, SV Stanković - ACM Computing Surveys …, 2021 - dl.acm.org
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 …
Benchmarking aggression identification in social media
In this paper, we present the report and findings of the Shared Task on Aggression
Identification organised as part of the First Workshop on Trolling, Aggression and …
Identification organised as part of the First Workshop on Trolling, Aggression and …
Aggression and misogyny detection using BERT: A multi-task approach
In recent times, the focus of the NLP community has increased towards offensive language,
aggression, and hate-speech detection. This paper presents our system for TRAC-2 shared …
aggression, and hate-speech detection. This paper presents our system for TRAC-2 shared …
Ceasing hate with moh: Hate speech detection in hindi–english code-switched language
Warning: This manuscript may contain upsetting language. Social media has become a
bedrock for people to voice their opinions worldwide. Due to the greater sense of freedom …
bedrock for people to voice their opinions worldwide. Due to the greater sense of freedom …
Sentiment analysis of tweets using a unified convolutional neural network‐long short‐term memory network model
Sentiment analysis focuses on identifying and classifying the sentiments expressed in text
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …
messages and reviews. Social networks like Twitter, Facebook, and Instagram generate …
Multi-modal aggression identification using convolutional neural network and binary particle swarm optimization
Aggressive posts containing symbolic and offencive images, inappropriate gestures along
with provocative textual comments are growing exponentially in social media with the …
with provocative textual comments are growing exponentially in social media with the …
[PDF][PDF] Trends in machine learning on automatic detection of hate speech on social media platforms: A systematic review
H Simon, BY Baha, EJ Garba - FUW Trends in Science & …, 2022 - ftstjournal.com
Social media provides a user-friendly platform for interested persons or groups to express
opinions and discuss freely their topics of interest which enhances the propagation of online …
opinions and discuss freely their topics of interest which enhances the propagation of online …
Emoji, sentiment and emotion aided cyberbullying detection in hinglish
The advent of the Internet is a boon to society. However, many of its banes cannot be
undermined, cyberbullying being one of them. The emotional state and sentiment of a …
undermined, cyberbullying being one of them. The emotional state and sentiment of a …
Bilingual Cyber-aggression detection on social media using LSTM autoencoder
Cyber-aggression is an offensive behaviour attacking people based on race, ethnicity,
religion, gender, sexual orientation and other traits. It has become a major issue plaguing …
religion, gender, sexual orientation and other traits. It has become a major issue plaguing …
Multilingual cyber abuse detection using advanced transformer architecture
A Malte, P Ratadiya - TENCON 2019-2019 IEEE Region 10 …, 2019 - ieeexplore.ieee.org
The rise in the number of active online users has subsequently increased the number of
cyber abuse incidents being reported as well. Such events pose a harm to the privacy and …
cyber abuse incidents being reported as well. Such events pose a harm to the privacy and …