Tackling cyber-aggression: Identification and fine-grained categorization of aggressive texts on social media using weighted ensemble of transformers
The pervasiveness of aggressive content in social media has become a serious concern for
government organizations and tech companies because of its pernicious societal effects. In …
government organizations and tech companies because of its pernicious societal effects. In …
Hate speech detection in the bengali language: a comprehensive survey
The detection of hate speech (HS) in online platforms has become extremely important for
maintaining a safe and inclusive environment. While significant progress has been made in …
maintaining a safe and inclusive environment. While significant progress has been made in …
The challenges and approaches during the detection of cyberbullying text for low-resource language: A literature review
MN Hoque, P Chakraborty… - ECTI Transactions on …, 2023 - ph01.tci-thaijo.org
Objective: The primary intent of this paper is to review related studies that are more
corresponding to the detection offive variants of cyberbullying text, such as abusive, hateful …
corresponding to the detection offive variants of cyberbullying text, such as abusive, hateful …
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 …
Hatecircle and unsupervised hate speech detection incorporating emotion and contextual semantics
The explosive growth of social media has fueled an extensive increase in online freedom of
speech. The worldwide platform of human voice creates possibilities to assail other users …
speech. The worldwide platform of human voice creates possibilities to assail other users …
Abusive content detection in transliterated Bengali-English social media corpus
S Sazzed - Proceedings of the Fifth Workshop on Computational …, 2021 - aclanthology.org
Abusive text detection in low-resource languages such as Bengali is a challenging task due
to the inadequacy of resources and tools. The ubiquity of transliterated Bengali comments in …
to the inadequacy of resources and tools. The ubiquity of transliterated Bengali comments in …
Semi-meta-supervised hate speech detection
CD Putra, HC Wang - Knowledge-Based Systems, 2024 - Elsevier
On social media, hate speech is a daily occurrence but has physical and psychological
implications. Utilizing a deep learning strategy to combat hate speech is one method for …
implications. Utilizing a deep learning strategy to combat hate speech is one method for …
Detecting level of depression from social media posts for the low-resource bengali language
Depression is a mental illness that suffers people in their thoughts and daily activities. In
extreme cases, sometimes it leads to self-destruction or commit to suicide. Besides an …
extreme cases, sometimes it leads to self-destruction or commit to suicide. Besides an …
Harmpot: An annotation framework for evaluating offline harm potential of social media text
R Kumar, O Bhalla, M Vanthi, SM Wani… - arXiv preprint arXiv …, 2024 - arxiv.org
In this paper, we discuss the development of an annotation schema to build datasets for
evaluating the offline harm potential of social media texts. We define" harm potential" as the …
evaluating the offline harm potential of social media texts. We define" harm potential" as the …
A multilingual, multimodal dataset of aggression and bias: the ComMA dataset
R Kumar, S Ratan, S Singh, E Nandi, LN Devi… - Language Resources …, 2024 - Springer
In this paper, we discuss the development of a multilingual dataset annotated with a
hierarchical, fine-grained tagset marking different types of aggression and the “context" in …
hierarchical, fine-grained tagset marking different types of aggression and the “context" in …