In essence that's a concept worth spreading. For example see how the Google memo debacle, or how Trumps president run news were formed to fit the particular outlets readership for maximum rage-views and/or confirmation sympathy.
As for combating this - there are no golden bullets. Even Google's search starts to lean towards sources that a given user visits more oft... or actually my search patterns fit to a given scheme that's abused by media outlets in their SEO.
I've had an idea for aggregating time-ordered news headlines for analysis to get a broad comparison of author and company leanings. This could be then shaped to a browser extension informing the user about that. The problem is that then it would be accused of labeling stuff with broad strokes.
(This mainly comes from me not remembering which news site likes which politicians and social issues.)
As for combating this - there are no golden bullets. Even Google's search starts to lean towards sources that a given user visits more oft... or actually my search patterns fit to a given scheme that's abused by media outlets in their SEO.
I've had an idea for aggregating time-ordered news headlines for analysis to get a broad comparison of author and company leanings. This could be then shaped to a browser extension informing the user about that. The problem is that then it would be accused of labeling stuff with broad strokes.
(This mainly comes from me not remembering which news site likes which politicians and social issues.)