Building Smart Content Moderation for Drupal: AI-Powered Spam Detection and Community Safety

As Drupal sites grow in scale and user engagement, protecting your community from spam, abuse, and malicious content becomes increasingly critical. This session explores how modern AI tools and techniques can be integrated into Drupal workflows to create intelligent, automated content moderation systems that scale with your site's growth.

We'll dive into practical implementations of machine learning-powered spam detection that can be deployed on Drupal sites of any size. Learn how to leverage AI APIs, build custom content analysis pipelines, and integrate smart filtering directly into your Drupal content workflow using contributed modules and custom solutions.

Key topics include configuring real-time content analysis, implementing multi-language spam detection for global communities, and building moderation queues that learn from community feedback. We'll explore how to balance automation with human oversight, ensuring legitimate content isn't caught in false positives while maintaining community standards.

The session covers privacy-conscious approaches to content analysis, GDPR-compliant implementations, and cost-effective strategies for small to medium-sized Drupal sites. We'll also discuss integration patterns with popular Drupal modules like Comment, Webform, and community-driven content types.

Attendees will leave with actionable knowledge about implementing AI-powered content moderation, practical code examples, and a roadmap for building safer, more manageable Drupal communities. Perfect for site builders, developers, and community managers looking to enhance their content strategy with intelligent automation.

This session is designed for intermediate to advanced Drupal developers and site administrators managing community-driven websites, forums, or content platforms.