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Dialogic Moderation Framework (DMF): Toward Context-Aware AI Governance

Year: 2025

Type: article

Abstract: Current AI moderation systems rely on pattern-based filtering mechanisms that operate without semantic understanding. These systems identify lexical risk rather than contextual intention, producing systematic false positives in cases of irony, philosophical discourse, or non-literal language. This paper proposes a new model — the Dialogic Moderation Framework (DMF) — designed to introduce semantic explainability and argumentative accountability into AI moderation.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.17493942

Author: Pugliese, Roberto

Language: English

Topic: Hate Speech and Cyberbullying Detection

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

SDG: Peace, justice, and strong institutions

Open Access status: green

OpenAlex ID: W7103156541

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