Twelve Exceptional Journalists Honored with 2025 MBL Logan Science
- Bias Rating
-52% Medium Liberal
- Reliability
N/AN/A
- Policy Leaning
-52% Medium Liberal
- Politician Portrayal
N/A
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The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. 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.
Sentiments
22% Positive
- Liberal
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
Liberal
100%
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Contributing sentiments towards policy:
66% : This legacy of excellence reflects the program's enduring impact on both journalism and public understanding of science.58% : This approach helps journalists convey the implications of scientific research in a way that resonates with diverse audiences.
54% : Subject of Research: Science journalism education and training Article Title: Twelve New Fellows Awarded in the Logan Science Journalism Program News Publication Date: [Insert Publication Date] Web References: [Insert Relevant Links] References: [Insert Any Relevant Sources] Image Credits: MBL Logan Science Journalism Program Keywords: Science journalism, Marine Biological Laboratory, immersive learning, biomedical research, environmental science, CRISPR/Cas9, journalism training, media communication, scientific discovery, Woods Hole, academic fellowship, misinformation in science.
*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.
