Sunday, June 15, 2025

How Quora-like knowledge sharing behavious have evolved over time

How Quora-like knowledge sharing behavious have evolved over time

Once upon a time, you had a question, and you’d ask a friend or open up an encyclopedia. Fast forwar to today, and the internet doesn’t just return your queries — it anticipates them. Sites like Quora are the digital campfires around which the world comes together to ask, learn and share.

But Quora is only one chapter in an ongoing story of online knowledge sharing. Let’s break it down:

📜 1. Forum Chatrooms & Early Days On The Web HttpNotFound’s first forays onto the internet were found on forums and chatrooms.

By the ’90s and early 2000s, platforms like Yahoo! Answers, Reddit and Stack Exchange established user-generated Q&A. They were messy, but magical — crowdsourced curiosity at its most raw. The responses were unfiltered, some funny, some genius and most debatable.

🚀 2. Quora’s New Look and the Future of the Platform

Quora Founded in 2009 by ex Facebook employees, Quora introduced a whole new level of professionalism to the Q&A space. It was not just a matter of the questions they were answering — it was who was doing the answering. CEOs, scientists and regular users chimed in with off-the-cuff reports.

What set it apart?

✅ Real identities

✅ Upvote/downvote system

✅ Expert curation

✅ Algorithmic personalization

🧬 3. Personalized Feeds & AI Moderation

Quora, which at one point was a Q&A site like no other, pivoted to a content platform, powered by machine learning that surfaces custom feeds according to your interests. Want startup advice? Healthcare insights? Examinations of the depredations of quantum physics? Your Quora feed is personalized for you.

And platforms like Medium, LinkedIn and Substack began muddling thought leaders and community conversationalists, birthing “expert influencers.”

🤖 4. The Age of A.I.: From ‘Answers’ to ‘Learning’ to ‘Understanding’

Now, with generative AI, platforms are pivoting once more. Now ChatGPT, Perplexity and even Quora’s own Poe instantly serve up synthesized knowledge, which is often indistinguishable from human-written responses.

But there’s a new challenge:

How do we balance speed and credibility?

How can we keep the human from getting lost in translation?


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