Detecting vaccine misinformation in a custom Bluesky feed, using LaunchDarkly and OpenAI

Bluesky is a rapidly growing social network that provides users with flexibility and control over their content, including highly configurable moderation tools and customizable feeds using the open source ATProtocol. One potential issue for the platform is the rise of vaccine disinformation, which could be mitigated by using large language models (LLMs) to filter posts containing misinformation or denialism. LaunchDarkly's feature flags can help decouple deployment from feature management on platforms like Bluesky that are scaling quickly. In this tutorial, a custom Python-based Bluesky feed is created with keyword-based filtering and LLM sentiment analysis, which can be conditionally enabled using a LaunchDarkly feature flag. Future upgrades could include more advanced machine learning techniques for detecting vaccine-related content and utilizing AI configs to improve sentiment analysis.

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