Detecting offensive speech in conversational code-mixed dialogue on social media: A contextual dataset and benchmark experiments
Abstract The spread of Hate Speech on online platforms is a severe issue for societies and
requires the identification of offensive content by platforms. Research has modeled Hate …
requires the identification of offensive content by platforms. Research has modeled Hate …
[PDF][PDF] Lidoma at homomex2023@ iberlef: Hate speech detection towards the mexican spanish-speaking lgbt+ population. the importance of preprocessing before …
M Shahiki-Tash, J Armenta-Segura, Z Ahani… - Proceedings of the …, 2023 - ceur-ws.org
Hate speech targeting LGBT+ individuals poses a deeply ingrained problem with wide-
ranging consequences, encompassing substance abuse disorders and discrimination …
ranging consequences, encompassing substance abuse disorders and discrimination …
Robustness of models addressing Information Disorder: A comprehensive review and benchmarking study
Abstract Machine learning and deep learning models are increasingly susceptible to
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
adversarial attacks, particularly in critical areas like cybersecurity and Information Disorder …
A Transformer Based Approach for Abuse Detection in Code Mixed Indic Languages.
The advancement in the number of online social media platforms has entailed active
participation from the web users globally. This has also lead to subsequent increase in the …
participation from the web users globally. This has also lead to subsequent increase in the …
[PDF][PDF] Overview of the HASOC Subtrack at FIRE 2022: Identification of Conversational Hate-Speech in Hindi-English Code-Mixed and German Language.
This article provides an overview of a shared task to identify contextual hate speech in social
media conversations. This task intends to analyze how context within a conversation in …
media conversations. This task intends to analyze how context within a conversation in …
CoSyn: Detecting implicit hate speech in online conversations using a context synergized hyperbolic network
The tremendous growth of social media users interacting in online conversations has led to
significant growth in hate speech, affecting people from various demographics. Most of the …
significant growth in hate speech, affecting people from various demographics. Most of the …
Cordyceps@ LT-EDI: Patching Language-Specific Homophobia/Transphobia Classifiers with a Multilingual Understanding
D Ninalga - arXiv preprint arXiv:2309.13561, 2023 - arxiv.org
Detecting transphobia, homophobia, and various other forms of hate speech is difficult.
Signals can vary depending on factors such as language, culture, geographical region, and …
Signals can vary depending on factors such as language, culture, geographical region, and …
Hate speech is not free speech: Explainable machine learning for hate speech detection in code-mixed languages
The increase in connectivity provided by social media platforms comes with several
disadvantages. It has become surprisingly easy for ill-intentioned individuals to stalk, harass …
disadvantages. It has become surprisingly easy for ill-intentioned individuals to stalk, harass …
[PDF][PDF] Baseline BERT models for Conversational Hate Speech Detection in Code-mixed tweets utilizing Data Augmentation and Offensive Language Identification in …
In today's world, social media plays a vital role in spreading hate towards a person or group
based on their color, caste, sex, sexual orientation, political differences, etc. Most of the work …
based on their color, caste, sex, sexual orientation, political differences, etc. Most of the work …
CUET_NLP_Manning@ LT-EDI 2024: Transformer-based Approach on Caste and Migration Hate Speech Detection
The widespread use of online communication has caused a significant increase in the
spread of hate speech on social media. However, there are also hate crimes based on caste …
spread of hate speech on social media. However, there are also hate crimes based on caste …