Subscribe
Sign in
Strategic Marketing Tips for AI-Moderated Social Platform Wetlk
I'm curious about how approach for Effective Marketing Strategies for the AI-Moderated Social Platform Wetlk.com.
What do you suggest to grow in a trustable way? Wetlk is focusing next generation's clean social media experience and trustworthy interaction for zero inappropriate content interaction of the youth segment.
5
Replies
Best
Christoph Michael
Hi Eyüphan,
Thanks for reaching out.
With the limited info about Wetlk.com at hand, the first use case that comes to mind to build with vector embeddings is automatic detection of inappropriate content on the platform and flagging it.
This can be built for all data formats, be it inappropriate text, images, video or audio.
Report
Share
Sounds cool! Maybe you could use AI to help moderate the user-generated content to keep things family-friendly. Like using embeddings to auto-detect and flag inappropriate text, images, video etc. Just an idea but could be a good use case for your new platform. Curious to hear how you end up leveraging AI!
@rachelmariethompson We made it ready already in Wetlk. AI checks all post contents, all messages, all pictures and Youtube Videos - moderate them and classify them very well. Sure we will optimize it during the way by learning from users' experience and make it better.
But we are not strong to market it, yet, as how we created this new social media with these fantastic AI-Moderation features with absolutely better User Experience.
Thanks for your comment.
Sounds promising! Using AI embeddings to detect and flag inappropriate content could definitely help maintain a positive community on Wetlk. You could train models on labeled examples of inappropriate text, images, video, and audio. Then use vector similarity search to identify potential violations in new content. Might need some human review too, but AI could help screen at scale. Keep us posted on how it goes!
Content moderation is definitely a good first use case for vector embeddings on a social platform. You could start by training models to detect inappropriate text, images, etc. I recently saw a demo of PygmalionAI that can detect toxic image content using multi-modal embeddings - might be worth checking out to see if a similar approach could work for Wetlk.