Bias — What? Why? How?
Bias is everywhere.
Numerous studies have shown that bias is prevalent in political news reporting. Some news outlets are known to have a conservative bias (e.g., Fox News) and liberal bias (e.g., Huffington Post). Bias may also arise due to the nature of topic matter, framing of news stories, preferences of journalists or media owners.
All of us have tendencies to stick to the information sources that we are comfortable with. This behavior leads to “filter bubble” — so we only read stories that reinforce our biases and we are not exposed to news with diverse opinions (or biases). Pew Research Center reports that American public is more politically polarized now than ever before.
At LeftRightPolitics.com, we want to change this.
We believe that people should know about hidden biases of news stories before they read them. We also want people to be able to read news stories with different opinions. By doing this, we hope to reduce the political polarization in our society.
So, how do we measure bias?
Our bias detection algorithm solely relies on data. It’s automatic — no human is involved in this process!
It monitors how people share news stories on Twitter. If it notices that more Democrat-leaning users are interested in a news story than Republican-leaning users, the news story is rated as Democratic biased. Or if it notices that more Republican-leaning users are interested in a news story than Democrat-leaning users, the news story is rated as Republican biased.
We rank news stories solely based on their recency and popularity, and never use any other selection process to bump up some news stories over others. YOU decide which news stories end up on the top of the page.
Let us know what you think.
You can reach us at firstname.lastname@example.org.