Important links

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• DOI

Abstract

Today, social media platforms navigate a growing range of harms, including misinformation, hate speech, harassment, and exploitative material. Content moderation is an essential yet increasingly complex component of how these platforms maintain safe and inclusive online environments. The rapid advancement of technologies such as generative AI, metaverses, and recommender systems for online content further complicates this landscape, introducing new forms of misbehavior and challenging the adaptability of existing strategies. While significant research has focused on developing detection mechanisms for multiple online harms, other critical aspects of the moderation process remain underexplored, including the definition of community guidelines, the design of intervention strategies, and the development of robust methodologies to evaluate moderation outcomes. Addressing these challenges requires a holistic, multidisciplinary approach that bridges computational methods, human factors, ethical considerations, and evolving transnational regulatory frameworks.

This workshop aims to foster a comprehensive dialogue on content moderation, engaging researchers and practitioners from diverse backgrounds, including social computing and computational social science, law, human-computer interaction, and platform governance. By bringing together varied perspectives, the workshop will advance understanding, spark collaborations, and drive innovation in tackling the full spectrum of content moderation tasks.

BibTeX citation

@article{jhaver2025Compass,
	author = {Cresci, Stefano and Zannettou, Savvas and Goanta, Catalina and Jhaver, Shagun and Caplan, Robyn},
	title = {COMPASS: 1st International Workshop on Computational Approaches to Content Moderation and Platform
Governance},
	year = {2025},
	url = {https://sites.google.com/view/workshop-compass25},
	doi = {10.36190/2025.08},
}