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Craven Herald and Pioneer
Media Bias Rating

Craven Herald and Pioneer was established in 1853 by local journalist James Craven, with the intent of serving the Craven district in North Yorkshire, England. Located in Skipton, the publication has been a cornerstone of the community, covering an array of topics such as politics, local events, sports, and community affairs. It is particularly lauded for its dedicated coverage of local politics and its robust features on regional culture and history, filling a niche for those interested in the affairs of the Craven district. Currently owned by Newsquest Media Group, a leading regional media company in the UK, the Craven Herald and Pioneer continues its long-standing tradition of community-focused journalism. With the evolution of digital media, it has expanded its reach through an online platform found at cravenherald.co.uk, ensuring that both local residents and those interested in Craven-area news can stay up-to-date, regardless of their location.

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

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Center

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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
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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.
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
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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.

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Extremely
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Moderately
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Extremely
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-100%
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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

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News Source Ranking
Craven is ranked 16,420 among other media sources and has an average of 201,886 monthly visits according to Similar Web.
At Biasly, we rate political news articles from Craven 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 Craven:

Craven Herald and Pioneer Articles

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Bias rating

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Craven Herald and Pioneer Politician Portrayal

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