View Proposal

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Proposer

Gavin Abercrombie

Title

Identification of Stereotypes and Hate Speech Targeting the LGBTQIA+ Community

Goal

To tackle SEMEVAL Task 8, StereoQueerEval: Identification of Stereotypes and Hate Speech Targeting the LGBTQIA+ Community

Description

This project will tackle SEMEVAL 2027 shared task 8. The exponential rise of social media has revolutionized online communication, but it has also intensified the circulation of harmful content, including hate speech, implicit discrimination and deeply rooted stereotypes targeting LGBTQIA+ individuals. Often expressed in linguistically subtle ways, these stereotypes reinforce structural inequalities and harm queer communities worldwide. The StereoQueerEval shared task advances the state of the art in detecting harmful language targeting LGBTQIA+ people, through a multilingual dataset capturing stereotypes and implicit hate across identities within the queer spectrum. Participants are asked to classify a YouTube user’s comment using the corresponding video title and description as contextual information. The challenge is organized into three subtasks: - Subtask (A) Stereotype Detection: A binary classification task checking whether the comment contains a stereotype about LGBTQIA+ people. - Subtask (B) Hate Speech Classification: A multiclass classification task distinguishing whether the comment expresses (i) explicit hate, (ii) implicit hate, or (iii) non-hateful or supportive content toward LGBTQIA+ individuals. - Subtask (C) Target & Identity Identification: A multilabel, multiclass task that, for hateful comments only, identifies both the target type (individual or group) and any specific LGBTQIA+ identities referenced in the comment.

Resources

Training data available from September 18th.

Background

Url

External Link

Difficulty Level

Moderate

Ethical Approval

Full

Number Of Students

1

Supervisor

Gavin Abercrombie

Keywords

nlp, classification, llms

Degrees

Bachelor of Science in Computer Science
Master of Science in Artificial Intelligence
Master of Science in Data Science