Reducing the workload: AI as a support tool for human content moderators

Title

Reducing the workload: AI as a support tool for human content moderators

Creator

Lalchhanhima, J.K.; Rajendran, Vijayalaxmi; Madhusudanan, Aradhana

Description

Content moderation on digital platforms has evolved into a critical challenge due to the volume and complexity of user- generated content. This chapter explores the transformative role of Artificial Intelligence (AI) in addressing this issue, highlighting its capacity for scalability, efficiency, and consistent enforcement of policies. However, AI's limitations-such as interpreting context, navigating cultural nuances, and avoiding bias-underscore the necessity of human involvement. The hybrid AI- human approach emerges as the most effective model, leveraging AI's data- processing capabilities to alleviate workload while relying on moderators for nuanced judgments and ethical oversight. Through case studies of major platforms like Meta, Reddit, and YouTube, this chapter demonstrates the potential and challenges of integrating AI into moderation. It advocates for transparency, ethical AI practices, and research to refine hybrid models, aiming to balance efficiency, fairness, and trust. This chapter contributes to the discourse on sustainable, ethical frameworks in the digital age. 2025, IGI Global Scientific Publishing. All rights reserved.

Source

Content Moderation in the Age of AI;pp.251-284

Date

01-01-2025

Publisher

IGI Global

Coverage

Lalchhanhima J.K., Christ University, India; Rajendran V., Christ University, India; Madhusudanan A., Christ University, India

Rights

Restricted Access; Hardcopy may be available in the library

Relation

ISBN: 979-833730337-6; 979-833730335-2;

Format

online

Language

English

Type

Book chapter

Identifier

https://doi.org/10.4018/979-8-3373-0335-2.ch010

https://www.scopus.com/pages/publications/105005130027?origin=resultslist