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Extremely
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Center

Somewhat Conservative

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Claim

WATTAgNet
Media Bias Rating

WATTAgNet, a respected name in the field of poultry and animal agriculture news, has been dedicated to providing comprehensive and timely coverage since its inception. Founded to address the specialized information needs of the poultry industry, this invaluable resource was established in [insert founding date] by [insert founder's name]. Today, it remains at the forefront of agricultural journalism, delivering crucial insights into the world of poultry and animal agriculture. As a trusted source for industry professionals, WATTAgNet continues to play a pivotal role in disseminating news and trends, cementing its status as an indispensable niche news provider. The current ownership details are [insert current ownership information].

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

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
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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
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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
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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
WATTAgNet is ranked 1,306 among other media sources and has an average of 97,761 monthly visits according to Similar Web.
At Biasly, we rate political news articles from WATTAgNet 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 WATTAgNet:

WATTAgNet Articles

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Article title

Bias rating

ACTIONS

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