A review on deep-learning-based cyberbullying detection
Bullying is described as an undesirable behavior by others that harms an individual
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
physically, mentally, or socially. Cyberbullying is a virtual form (eg, textual or image) of …
Detecting white supremacist hate speech using domain specific word embedding with deep learning and BERT
White supremacist hate speech is one of the most recently observed harmful content on
social media. The critical influence of these radical groups is no longer limited to social …
social media. The critical influence of these radical groups is no longer limited to social …
Overview of the CLEF-2022 CheckThat! lab task 1 on identifying relevant claims in tweets
P Nakov, A Barrón-Cedeño… - 2022 Conference and …, 2022 - research.rug.nl
We present an overview of CheckThat! lab 2022 Task 1, part of the 2022 Conference and
Labs of the Evaluation Forum (CLEF). Task 1 asked to predict which posts in a Twitter …
Labs of the Evaluation Forum (CLEF). Task 1 asked to predict which posts in a Twitter …
Detecting and understanding harmful memes: A survey
The automatic identification of harmful content online is of major concern for social media
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …
platforms, policymakers, and society. Researchers have studied textual, visual, and audio …
[PDF][PDF] A multilingual system for cyberbullying detection: Arabic content detection using machine learning
With the abundance of Internet and electronic devices bullying has moved its place from
schools and backyards into cyberspace; to be now known as Cyberbullying. Cyberbullying …
schools and backyards into cyberspace; to be now known as Cyberbullying. Cyberbullying …
When the timeline meets the pipeline: A survey on automated cyberbullying detection
Web 2.0 helped user-generated platforms to spread widely. Unfortunately, it also allowed for
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
cyberbullying to spread. Cyberbullying has negative effects that could lead to cases of …
A review of automated detection methods for cyberbullying
As we see the cyberspace evolve we also see a directly proportional growth of the people
using the cyberspace for communication. As a result, the misuse of the cyberspace has …
using the cyberspace for communication. As a result, the misuse of the cyberspace has …
Multilingual cyberbullying detection system
R Pawar, RR Raje - 2019 IEEE international conference on …, 2019 - ieeexplore.ieee.org
As the use of social media has evolved in recent times, so has the ability to cyberbully
victims using it. The last decade has witnessed a surge of cyberbullying-this bullying is not …
victims using it. The last decade has witnessed a surge of cyberbullying-this bullying is not …
Automatic detection of cyberbullying and abusive language in Arabic content on social networks: a survey
As a key player in today's world, online social networks are emerging, providing a platform
for expression and content distribution. This technology enables users to communicate …
for expression and content distribution. This technology enables users to communicate …
Multi-input integrative learning using deep neural networks and transfer learning for cyberbullying detection in real-time code-mix data
A Kumar, N Sachdeva - Multimedia systems, 2022 - Springer
Automatic detection of cyberbullying in social media content is a natural language
understanding and generic text classification task. The cultural diversities, country-specific …
understanding and generic text classification task. The cultural diversities, country-specific …