The Birmingham Times
Media Bias Rating

The Birmingham Times, a prominent news source, was established in 1964 with a steadfast commitment to delivering comprehensive and insightful coverage to the vibrant community of Birmingham, Alabama. Founded by visionary journalist James Hatcher, the newspaper quickly became a beacon of reliable information, covering a diverse range of topics including politics, sports, trendy stories, and community affairs. Over the years, The Birmingham Times has played a pivotal role in keeping the local residents well-informed about the latest developments and events shaping their lives. Today, the legacy of The Birmingham Times continues under the ownership of Hatcher's descendants, who have diligently carried forward the founder's mission. With its headquarters situated in the heart of Birmingham, the newspaper remains a trusted source for news that resonates with the community it serves. Whether reporting on political milestones, sporting triumphs, cultural trends, or providing a touch of humor through its occasional parody pieces, The Birmingham Times remains a cornerstone of reliable journalism in the heart of Alabama. Explore their stories at birminghamtimes.com and stay connected with the pulse of Birmingham.

A.I. Ratings

Bias Score

Our A.I. media bias rating of The Birmingham Times shows what policies The Birmingham Times supports and opposes including The Birmingham Times's conservative and liberal leanings based on analysis of three hundred of articles scanned daily using the latest data science and artificial intelligence technologies.

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.

-6% Center

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.

Policy Leanings

Our policy leanings for Fox News show what policies Fox News is biased on based on the sentiment leanings found in their news articles.

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.

Reliability

Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.

Grade C 67% Reliable

Analyst Ratings

Bias Score

Biasly’s analyst team evaluates politician twitter accounts, voting records, and statements made in the press to determine leanings. Our diverse analyst team includes equal representation from conservative, center, and liberal viewpoints on every article we rate.

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

Author Bias

N/A

Reliability

Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.

N/A