Subject: Repeated Moderation Flags on Political/National Security Discussions
Context & Concern
I’m a long-standing political expert and investigator who has received official briefings on foreign interference (e.g., CSIS briefings in Canada). My work often involves discussing how misinformation campaigns—particularly from threat actors like Russia—are more effective with certain ideological groups. From a national security perspective, this is a real and pressing concern.
Recently, while experimenting with OpenAI’s language models, my factual and analytical discussions about these topics have been flagged for potential policy violations. To be clear, I’m not advocating for any hateful, violent, or extremist views—I’m simply describing real-world misinformation tactics and their impacts. These repeated flags appear to be false positives triggered by keywords such as “conservative,” “MAGA,” or references to Russian disinformation efforts.
Request for Guidance
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False Positive Resolution: How can I better format prompts or content so the moderation system doesn’t inadvertently flag legitimate analysis of national security issues?
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Policy Clarification: Is there official guidance on discussing politically sensitive topics—like election interference or ideological echo chambers—without triggering automated content warnings?
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Best Practices: If my content is being flagged solely due to certain “hot-button” terms, what are the recommended approaches for ensuring these valid, evidence-based discussions are recognized as policy-compliant?
I believe that open, evidence-based dialogue about foreign interference and misinformation is crucial, especially from a national security standpoint. Any insights on preventing or addressing false positives would be greatly appreciated.
Thank you in advance for your help. I want to continue leveraging AI tools responsibly while focusing on these important public policy and security topics.
Dale Jackaman - President
Amuleta Security