Large-Model-Driven Content Moderation Systems: Platform-Level Applications and Governance Practices
DOI:
https://doi.org/10.71222/d58yzk94Keywords:
Content Moderation, Large Models, Platform Governance, AI Ethics, Social MediaAbstract
Into the application and administration of bombastic-model-take content moderation systems on societal media platforms, this research article delf. As the deployment of these AI systems get more widespread. Translate their capabilities and limit is crucial. In big models for content moderation, the subject review the technological promotion. Exploring their strength in key inappropriate content. Thereby to ensure honourable and unbiased application. The article likewise examines governance practices; use quantitative method, the enquiry thereby assess the performance metrics of these simulation in genuine-world contexts and discourse their import for users and policymakers. Key findings intrinsically highlight the equalizer between algorithmic efficiency and human superintendence and supply perceptivity into next improvements in content moderation systems.References
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Copyright (c) 2026 Rui Li (Author)
This work is licensed under a Creative Commons Attribution 4.0 International License.
