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Extremely
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Center

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100%

Claim

WOLA
Media Bias Rating

WOLA (Washington Office on Latin America) stands as a distinguished news and advocacy platform specializing in comprehensive coverage of human rights, social justice, and policy developments in the Americas. Established in 1974 by a group of activists and experts, WOLA emerged as a vital source of knowledge, aiming to promote human rights, democracy, and justice in the region. Currently a nonprofit organization, WOLA remains dedicated to its mission of delivering accurate and impactful reporting within the realm of Latin American affairs. Renowned for its expertise in addressing pressing issues such as migration, drug policy, and social inequality, WOLA's platform symbolizes its role as a trusted source for researchers, policymakers, and activists seeking authoritative information and analysis on human rights and social justice in the Americas. With a strong online presence, WOLA continues to excel in its mission, making it an indispensable resource for readers seeking news and advocacy related to the region.

Bias Meter
Computer A.I. Score
Help
Our A.I. media bias rating of WOLA shows what policies WOLA supports and opposes including WOLA'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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-100%
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100%
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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.

N/A

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Center

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Extremely
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-100%
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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

57% negative

News Source Ranking
WOLA is ranked N/A among other media sources and has an average of 119,163 monthly visits according to Similar Web.
At Biasly, we rate political news articles from WOLA 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 WOLA:

WOLA Articles

Date

Article title

Bias rating

ACTIONS

WOLA Politician Portrayal

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