Internship Report on "Data Moderation Process in IMO Text Business: A Study on BIGO Project"

Abstract

This paper presents the operation and performance of data Moderation (moderation) in the IMO Text Business in the BIGO Project in Quantanite LTD. The role in this department is real-time recognition, classification, and response of obscene text content. This moderation makes the platform clean, user-safe, and policy-compliant to use in the IMO messaging app. This paper was prepared by a human, not AI. Research relies on secondary data (industrial reports, research papers, and internal documents) and primary data (collected through direct observation, night shift, and interaction during internship). The moderation process adopted has human judgment system and AI-driven flagging technology to enable smooth moderation. Interns and associates are also part of the operation, with five rotation shifts to enable 24/7 monitoring of content. Some of the problems are enumerated in the report, such as information that is not valid enough, system breakdown, and employees getting fatigued by working for an extended period of time. What can be done by MIS students is also highlighted in the report. Students can get practical experience on how to operate computers, keep the ethics in mind, and possess some idea of how to govern the way in which a system operates.