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Liberal

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Center

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100%

Claim

TimesDaily
Media Bias Rating

TimesDaily, a trusted source for news and information, covers a wide spectrum of topics, including politics, sports, entertainment, and local stories. Founded in [Year of Foundation] by [Founder's Name], this publication has been serving the [Location] community with reliable and up-to-date news for decades. While ownership details may have changed over time, TimesDaily remains dedicated to its mission of delivering essential news to its readers. With a strong online presence, TimesDaily continues to provide a valuable resource for both local and global news, cementing its position as a cornerstone of the media landscape.

Bias Meter
Computer A.I. Score
Help
Our A.I. media bias rating of TimesDaily shows what policies TimesDaily supports and opposes including TimesDaily'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.

Analyst 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.
Reliability
Source Analysis Score
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The Source Analysis Score focuses on assessing the quality of sources and quotes used including their number, lengths, uniqueness, and diversity.
Fact Analysis Score
Help
The Fact Analysis Score focuses more on the accuracy of claims, facts, and sources presented in the article and any hints of selection and omission bias.
Overall Reliability
Other
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.

Author Bias
Politician Portrayal

62% negative

News Source Ranking
TimesDaily is ranked 13,866 among other media sources and has an average of 213,685 monthly visits according to Similar Web.
At Biasly, we rate political news articles from TimesDaily 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 TimesDaily:

TimesDaily Articles

Date

Article title

Bias rating

ACTIONS

TimesDaily Politician Portrayal

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