Extremely
Liberal
Very
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Very
Conservative
Extremely
Conservative
-100%
100%
Pajiba, a distinctive and irreverent news source, was founded in 2004 as a refreshing departure from conventional journalism. Its founders, Dustin Rowles and Seth Freilich, aimed to provide readers with a unique blend of incisive commentary and biting parody, focusing on politics, entertainment, trending stories, and more. Headquartered in New York City, Pajiba has carved a niche for itself by fearlessly tackling controversial topics and embracing a satirical approach to news coverage. While it doesn't shy away from the serious issues of the day, Pajiba is renowned for its witty and often humorous take on the world's events. Currently, it operates as an independent platform, maintaining a strong online presence at pajiba.com, where readers can indulge in its distinctive brand of news and commentary.
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Fair Reliability
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
The Analyst Bias Score is on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.
N/A
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Fair Reliability
*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.
81% negative
