You can never get rid of all of your biases, but you can actively seek out other points of view. You can't get rid of your filter bubble either, but you can take steps to shrink it. Here are some suggestions:
is a website that presents news articles from the left, center, and right of each issue.
by The Wall Street Journal presents side-by-side liberal and conservative Facebook posts on selected topics (but warns that posts are not edited or verified).
is a Chrome extension that sends curated articles from across the aisle to your email or Facebook feed.
takes a more behavioral approach by encouraging you to "click outside your comfort zone," "follow someone unexpected," and actively seek out different perspectives.
is an app designed to help you make sure you're reading varied points of view.
A filter bubble is a result of a personalized search in which a website algorithm selectively guesses what information a user would like to see based on information about the user (such as location, past click behavior and search history) and, as a result, users become separated from information that disagrees with their viewpoints, effectively isolating them in their own cultural or ideological bubbles. The choices made by the algorithms are not transparent. Prime examples are Google Personalized Search results and Facebook's personalized news stream. The term was coined by internet activist Eli Pariser in his book by the same name. According to Pariser, users get less exposure to conflicting viewpoints and are isolated intellectually in their own informational bubble. Pariser related an example in which one user searched Google for "BP" and got investment news about British Petroleum while another searcher got information about the Deepwater Horizon oil spill and that the two search results pages were "strikingly different". The bubble effect may have negative implications for civic discourse, according to Pariser, but there are contrasting views suggesting the effect is minimal and addressable. (Taken from Wikipedia)
Since the content seen by individual social media users is influenced by algorithms that produce filter bubbles, users of social media platforms are more susceptible to confirmation bias and may be exposed to biased, misleading information. Confirmation Bias is the tendency to search for, interpret, favor, and recall information in a way that confirms one's preexisting beliefs or hypotheses (Taken from Wikipedia).
Definitions taken from Wikipedia