Work

OVALYTICS: Enhancing Offensive Video Detection with YouTube Transcriptions and Advanced Language Models

Year: 2025

Type: article

Abstract: The exponential growth of offensive content online underscores the need for robust content moderation. In response, this work presents OVALYTICS (Offensive Video Analysis Leveraging YouTube Transcriptions with Intelligent Classification System), a comprehensive framework that introduces novel integrations of advanced technologies for offensive video detection. Unlike existing approaches, OVALYTICS uniquely combines Whisper AI for accurate audio-to-text transcription with state-of-the-art large language models (LLMs) such as BERT, ALBERT, XLM-R, MPNet, and T5 for semantic analysis. The framework also features a newly curated dataset tailored for fine-grained evaluation, achieving significant improvements in accuracy and F1-scores over traditional methods and advancing the state of automated content moderation.

Source: Natural Language Processing Journal

DOI: 10.1016/j.nlp.2025.100147

Authors: Sneha Chinivar, Roopa M.S., Arunalatha J.S., Venugopal K.R.

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $1,740

OpenAlex ID: W4409644250

FWCI: 0.408

Cites: 29

Cited by: 1

Related to: 10