About HASOC
Social networking platforms such as Twitter and Facebook have become widely popular due to their ease of use and broad accessibility, offering individuals a powerful space to express their thoughts. Despite the many advantages of social media, a significant amount of harmful and offensive content—including hate speech—circulates online, posing serious societal challenges.
The task of hate speech detection increasingly necessitates the analysis of multimodal data, as harmful online content often exploits the combination of text and images to convey hateful messages in subtle or coded forms. HASOC aims to develop automated systems capable of detecting and flagging potentially harmful or suspicious posts, contributing to safer and more inclusive digital environments.
Registration
Register for HASOC 2026
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Latest Edition
HASOC 2026
Hate Speech and Offensive Content Identification — the latest edition featuring three cutting-edge shared tasks for researchers and practitioners.
Task 1
Hate Speech and Offensive Content Detection — identify and classify harmful content across online platforms.
Task 2
Multimodal Sentiment Analysis of Punjabi Memes through the Detection of Sentiment, Offensive Content, Sarcasm, and Motivational Themes
Task 3
Multilingual Regret Detection and Domain Identification from Social Media Text
Previous Editions
HASOC 2025
Hate Speech and Offensive Content Identification
HASOC 2024
Hate Speech and Offensive Content Identification
HASOC 2023
Hate Speech and Offensive Content Identification
HASOC 2022
Hate Speech and Offensive Content Identification
HASOC 2021
Hate Speech and Offensive Content Identification
HASOC 2020
Hate Speech and Offensive Content Identification
HASOC 2019
Hate Speech and Offensive Content Identification