HASOC (2024)

This is the sixth edition of the HASOC shared task. HASOC 2024 will offer two classification tasks. It will focus on the Identification of hate and offensive language in English and Bangla. The first task mainly focuses on the binary classification of hate speech in English language.

This time we are having two tasks which are as follows:

Task-1 Binary Classification in English: A task focused on hate speech and offensive language identification is offered for Hinglish. It is a coarse-grained binary classification in which participants are required to classify tweets into two classes, namely: hate and offensive (HOF) and non- hate and offensive (NOT).

• (NOT) Non Hate-Offensive - This post does not contain any Hate speech, profane, offensive content.

• (HOF) Hate and Offensive - This post contains Hate, offensive, and profane content.

Task-2 Code-mixed classification in Bangla:

OLID’s taxonomy considers whether an instance is offensive (level A), whether an offensive post is targeted or untargeted (level B), and what is the target of an offensive post (level C). As the second level of the TB-OLID annotation we consider OLID level A as follows:

• Offensive(O): Comments that contain any form of non-acceptable language or a targeted offense, including insults, threats, and posts containing profane language

• Non-offensive(N): Comments that do not contain any offensive language

Finally, the third level of the TB-OLID annotation merges OLIDs level B and C. We label whether a post is untargeted or, when targeted, whether it is labeled at an individual or a group as follows:

• Individual(I): Comments targeting any individual, such as mentioning a person with his/her name, unnamed participants, or famous personality.

• Group(G): Comments targeting any group of people of common characteristics, religion, gender, etc

• Untargeted(U): Comments containing unacceptably strong language or profanities that are not targeted.