Bias Meter▼
News▼
Pricing & Services▼
Discussions▼
Tools▼
About▼
Back
to Media Ratings List
View source

Extremely
Liberal

Very
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Very
Conservative

Extremely
Conservative

-100%

100%

WVAS-FM 90.7
Media Bias Rating

Follow

WVAS-FM 90.7 was founded in 1984 and licensed to Alabama State University. It is a jazz-music-oriented radio station in the Montgomery, Alabama, area. News and other programs from Public Radio Exchange and National Public Radio are broadcast on the member-supported, non-commercial WVAS station. Its online news presence can be found at wvasfm.org and has an average of 54,160 monthly visits. It ranked 25,119 among other news and media sources.

A.I. Ratings
Bias Score
Help
Our A.I. media bias rating of WVAS-FM 90.7 shows what policies WVAS-FM 90.7 supports and opposes including WVAS-FM 90.7'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.

-40% Moderately Liberal

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
Help
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
Help
Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
Analyst Ratings
Bias Score
Help
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.
Author Bias
Reliability
Help
Biasly's Reliability Score is a composite score that includes the rating of the quality of sources, and quotes including their uniqueness and diversity.
News Source Ranking
WVAS-FM 90.7 is ranked N/A among other media sources and has an average of N/A monthly visits according to Similar Web.
At Biasly, we rate political news articles from WVAS-FM 90.7 using our Bias Meter technology to provide readers better insight into the conservative and liberal leanings present in today’s media. Here is a list of biases found in articles, political policies, and politician biases from WVAS-FM 90.7:

WVAS-FM 90.7 Articles

Date

Article title

Bias rating

ACTIONS

Ratings are based on recent news using data science and A.I. technology.