How we see events is shaped by the information around us. 

Social media algorithms label users and suggest popular topics. This seems logical since the system recommends stuff you "might" like. But what if the whole user group is biased? 

Interestingly, communities with barriers (like token-gated ones) or screening processes can keep content quality high because they have a clearer target audience. 

Here's what different platforms are known for:
> Warpcast: web3 and new tech talks
> Zora: tech art and digital media
> Paragraph: web3 business & tech insights
> Frame: meme and idea testing
> Substack & Notes: deep knowledge and expert content
> Twitter (X): tech trends and hot topics
> Threads: middle-ground info sharing
> Facebook: general info for all ages