Enhancing user governance and platform safety with intelligent content moderation tools.
(Isstories Editorial):- Singapore, Singapore Apr 1, 2025 (Issuewire.com) – Imagen Network (IMAGE) has rolled out a new set of AI-powered smart content filters designed to strengthen community control and foster safer digital environments in Web3. This development empowers users to moderate their own spaces, reinforcing Imagen’s commitment to decentralized governance and personalized social experiences.
More on Isstories:
- The Long Arc of Visibility: Merina Vo and the Quiet Architecture of Influence
- Apple iSports Group, Inc. Appoints Lyndon Hsu to Its Board of Directors
- THC Test Kits Makes Cannabis Testing Affordable and Accessible with Easy to Use Kits
- Tales with Tails: The Ear Bend, the debut book of the Pawsome Pals series, encourages acceptance with help from friends.
- Pixeldust Launches Independent IT Project Risk Review Service
The smart filters utilize advanced AI models to identify, categorize, and manage content in real time, allowing users to apply custom moderation settings based on their preferences. This toolset promotes open expression while maintaining respectful and secure community engagement.
Unlike centralized moderation systems, Imagen’s decentralized model gives users and communities the ability to define their own standards, creating diverse, self-governed ecosystems. These filters not only support content quality but also reduce spam, abuse, and irrelevant noise–enhancing the value of social interactions across the network.
Imagen Network will continue refining its moderation AI and expanding tools that support community empowerment, shaping a user-led future for decentralized social networking.
About Imagen Network
Imagen Network is the world’s first decentralized social networking platform powered by AI and blockchain. Focused on privacy, personalization, and user ownership, Imagen Network is redefining social engagement in Web3.
This article was originally published by IssueWire. Read the original article here.

















