Author(s): Mukundan Sankar

Originally published on Towards AI.

An Inside Look at Media Sentiment and Key Issues Using Data

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At the time of this writing, the 2024 U.S. election is just going to be declared in the next few days if not the few hours, and if you’re like me, it feels like the news is overflowing with stories about the candidates, hot-button issues, and everything in between. But with so much information out there, what’s actually shaping the story of this election? And how are Kamala Harris and Donald Trump being portrayed in the media?

I decided to take a closer look using AI-powered tools to analyze hundreds of news articles about the election. My goal? To uncover patterns in media sentiment, identify the key issues being discussed, and get a clearer picture of what the media is really focusing on. Here’s what I found — and what it might mean as we head toward Election Day.

In this post, I’m going to show you how data can help answer these questions. Using Python, I analyzed hundreds of recent news articles about the election. The goal? To uncover patterns in media sentiment, find out what issues are driving the narrative, and ultimately gain a clearer… Read the full blog for free on Medium.

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Published via Towards AI