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AI-Model For Probabilistic Assessment and Classification of Harmful Digital Content

Year: 2025

Type: conference-paper

Abstract: In today’s digital landscape, the sheer volume of harmful content necessitates smarter, more adaptable automated moderation techniques. This research introduces a novel, two- pronged AI approach designed for the probabilistic identification and categorization of harmful text, such as toxic comments,

DOI: 10.4108/eai.28-4-2025.2357981

Authors: Ujjawal Kumar, V. Kalpana, Nirmal M, Ashish Ranjan

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: gold

OpenAlex ID: W4415437370

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