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%

Claim

Deadline
Media Bias Rating

Follow

Deadline was founded in 2006 by Nikki Finke, a seasoned journalist. Based in Los Angeles, California, and specializes in entertainment industry news, covering film, television, and entertainment related stories. Deadline’s coverage extends from Hollywood blockbusters to independent films, from television series to industry trends. It is currently part of Penske Media Corporation, a global media company that owns and operates numerous prestigious media brands.

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

-28% 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
Deadline is ranked N/A among other media sources and has an average of 24,080,000 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Deadline 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 Deadline:

Deadline Articles

Date

Article title

Bias rating

ACTIONS

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