The first thing you learn in data science is that everyone has biases.
I get most of my news from HN, Yahoo, and from what others post. These outlets give me many different sources to choose from. I tend to look for multiple sources, usually from competing outlets with different biases. So maybe I'll see an article that originated from Fox and then look at one from Huffpost. Then I can find what points they agreed on, since those are likely true. Then I can see what info is conflicting, missing, or recieved more emphasis between the two.
At this point I might look up the subject that it talks about so that I can understand the information from a systems-thinking perspective. I might read scholarly articles/blogs/courses. I might look at studies to understand the data and see if the study is being misrepresented, like the gender page gap and BLS study (you may need different sources for these due to biases on polarising subjects like guns).
I get most of my news from HN, Yahoo, and from what others post. These outlets give me many different sources to choose from. I tend to look for multiple sources, usually from competing outlets with different biases. So maybe I'll see an article that originated from Fox and then look at one from Huffpost. Then I can find what points they agreed on, since those are likely true. Then I can see what info is conflicting, missing, or recieved more emphasis between the two.
At this point I might look up the subject that it talks about so that I can understand the information from a systems-thinking perspective. I might read scholarly articles/blogs/courses. I might look at studies to understand the data and see if the study is being misrepresented, like the gender page gap and BLS study (you may need different sources for these due to biases on polarising subjects like guns).