Inquiry on Steemit's Content Moderation Policies – Community Experience Sharing Collection

Hello everyone,

I am Chunlin Wang, currently engaged in research at a university. My academic focus is on content moderation, harmful speech detection, and governance mechanisms in Web3 social platforms, particularly decentralized blockchain-based content platforms like Steemit.

As one of the earliest and most influential Web3 content ecosystems, Steemit’s governance and moderation approaches are highly relevant to my current research. To gain a more authentic and in-depth understanding of how Steemit operates in practice, I would like to directly ask the community—including long-term users, witnesses, developers, or anyone familiar with relevant content policies—the following questions:

Practical Operation of Moderation Mechanisms​

Does Steemit employ automated filtering tools, AI models, or keyword detection to handle harmful/hate speech?

If content is reported, how does the platform or community conduct manual reviews? Is there a clear process?

In content decision-making, does the community participate in moderation through witnesses, DAO-style governance, or other community roles?

Content Policies and Enforcement Methods​

Which official documents (e.g., Terms of Service, Community Guidelines) do you typically refer to when determining whether content violates rules?

In practice, how is violating content usually handled? (e.g., content hidden, flagged, accounts muted/downvoted/banned?)

Transparency and Community Information​

Does Steemit publish transparency reports, moderation statistics, or public documentation about its content safety systems?

Are there any open-source tools, APIs, or research-related datasets available to the community or researchers?

I am currently conducting purely academic, non-commercial research and plan to publish the findings in academic journals or conferences. All responses and information from the community will be properly cited and acknowledged in the research papers.

If anyone has experiences, observations, relevant documentation links, or simply wishes to share their insights, please feel free to reply directly to this post.

Thank you very much for your time and assistance! I look forward to hearing from you.

Best regards！