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Showing posts from September 21, 2025

Why Data Is Called the New Oil — And What That Really Means?

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  AI Representation “Oil powered the 20th century. Data powers the 21st.” It’s a phrase you’ve probably heard tossed around in tech circles, boardrooms, and blog headlines. But what does it actually mean? Is data really the new oil — or is it something even more powerful? 🧬 What Is Data, Really? At its core, data is information — facts, figures, signals, or observations that can be recorded, stored, and analyzed. It originates from every interaction we have with digital systems: browsing websites, using apps, sending messages, wearing smart devices, or even walking past a sensor. Data can be: Structured (like spreadsheets or databases) Unstructured (like emails, images, or social media posts) Generated by humans (typing, clicking, speaking) Generated by machines (sensors, satellites, algorithms ) In today’s digital world, data is constantly being created — and when refined, it becomes insight, prediction, and power. 🔍 What Does “Data Is the New Oil” Mean? When people say “d...

Is Your Feed Feeding You Lies? The Urgent Need for Ethical Algorithms in Social Media

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  AI Representation Introduction Picture this: You open TikTok for a quick five-minute scroll, and suddenly it's an hour later. Your feed is a perfect mirror of your interests—cat videos if you're a pet lover, makeup tutorials if you're into beauty, or endless clips of conspiracy theories if that's what grabs you. It feels almost magical, like the app knows you better than your best friend. But have you ever paused to wonder why your scroll feels so addictive yet strangely repetitive? Behind this seamless experience lurks a hidden force called algorithmic bias , the invisible hand that curates your content. It's designed to keep you hooked, prioritizing engagement over everything else. In this post, we'll unpack how this bias is warping our digital world, why it's unsustainable, and how a fresh, ethics-first approach could turn things around. Let's dive in, from the heart of the problem to a brighter path forward. The Core Problem: Why "Sensationa...