Content moderation systems are crucial in Online Social Networks (OSNs). Indeed, their role is to keep platforms and their users safe from malicious activities. However, there is an emerging consensus that such systems are unfair to fragile users and minorities. Furthermore, content moderation systems are difficult to personalize and lack effective communication between users and platforms. In this context, we propose an enhancement of the current framework of content moderation, integrating Large Language Models (LLMs) in the enforcing pipeline.

Analyzing the Use of Large Language Models for Content Moderation with ChatGPT Examples

Franco M.
;
Gaggi O.;Palazzi C. E.
2023

Abstract

Content moderation systems are crucial in Online Social Networks (OSNs). Indeed, their role is to keep platforms and their users safe from malicious activities. However, there is an emerging consensus that such systems are unfair to fragile users and minorities. Furthermore, content moderation systems are difficult to personalize and lack effective communication between users and platforms. In this context, we propose an enhancement of the current framework of content moderation, integrating Large Language Models (LLMs) in the enforcing pipeline.
2023
Proceedings of the 3rd International Workshop on Open Challenges in Online Social Networks
2023 Workshop on Open Challenges in Online Social Networks, OASIS 2023, Held in conjunction with the 34th ACM conference on Hypertext and Social Media, HT 2023
9798400702259
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11577/3501042
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