Work

Machine Learning for Automated Content Moderation on Social Platforms

Year: 2025

Type: article

Abstract: Social media platforms like Facebook, YouTube, Instagram, and TikTok are filled with billions of posts every day. To keep these platforms safe and respectful, companies use machine learning (ML) to automatically detect and manage harmful or inappropriate content. This research paper explains what content moderation is, how ML helps with it, the benefits and challenges involved, and why human oversight and ethical thinking still matter. It is written for college students and the general public, using easy-to-understand language.

Source: International Journal for Research in Applied Science and Engineering Technology

DOI: 10.22214/ijraset.2025.72153

Author: Miss. Vaishali Malkhede

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

Open Access status: diamond

OpenAlex ID: W4411113705

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