Fake News Detection using NLP – AI’s Role in Combating Misinformation

Abstract

The regular ways we'd check up on facts are like using a snail to race a cheetah - too slow and way too much effort. So, we're kind a counting on our techy pals, the computers, to lend us a hand with this mess, you know? They got to help us sift through the nonsense. False information, is that right? It's everywhere we look, and it's like the latest internet craze. It's all about messing with what we think is true, especially with politics and stuff that's supposed to keep us healthy, or how to get rich quick.  Also, keep in mind how it's using our money! It's like, have you heard about all the juicy rumours flying around school lately?   It's like a wildfire out there, seriously!  You can't even tell what's actually happening and what's just someone spinning tall tales for fun or to get noticed. It's everywhere, and its nuts trying to figure out the real scoop, you know? Enter Artificial Intelligence (AI) and its cool buddy, Natural Language Processing (NLP). These techy tools are pretty good at reading and understanding text, so we can use them to spot fake news more quickly. They look for patterns in words and sentences, and they can learn from a bunch of examples to get better at it. Some of the clever algorithms we use are SVM, Random Forest, LSTM, and the big bosses, BERT and GPT.
But even with all this smart tech, we've got some problems to deal with. For one, fake news is getting sneakier, and it's tough for AI to catch all the subtleties. Additionally, language is always changing, so our algorithms gotta keep up, you know? And fairness, it's like the biggest deal ever! We can't have them being biased or snooping around in people's private stuff. It's really important to figure out how they think, so they don't go giving us answers that are all messed up.
In this paper, we're going to dive into how NLP is helping us fight fake news. We'll look at what's working, what's not, and some real-life examples of AI doing the job. We'll also chat about what's coming up next, like mixing text with images and videos, making AI explain its decisions better, and even using blockchain to keep track of where info comes from. The objective is to continue making these instruments smarter and responsible so we can all travel through the digital world without being tricked into believing fake news.