Can Machine Learning Be The Key to Unbiased News?
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An experimental data-visualization tool using machine learning seeks to analyze real-time news from a variety of sources based on subjectivity, sentiments, and content analysis. Could this be the anwser to determining the bias of news sources?
"The Living News" was created by Jibin Varghese at the National Institute of Design, India. Outside of its valuable capabilities, the visualization is special in itself.
The experimental tool uses machine learning libraries to analyze incoming news content to then perform three types of NLP analysis:
How emotional the story is and if it's a positive, neutral, or negative sentiment.
The overall subjectivity of the story. For example, is the content of the story opinionated and subjective, or factual and objective in nature.
What the topic and overall content of the story related to. The tool finds categories or classifications that the content related to.
Here's a preview of the prototype: