
PRESS ADVISORY: On Friday, Join a Discussion About the Ways Local Media Can Serve People in a Time of Crisis
- Bias Rating
- Reliability
20% ReliableLimited
- Policy Leaning
-12% Somewhat Left
- Politician Portrayal
16% Negative
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Bias Score Analysis
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
27% 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%
Conservative

Contributing sentiments towards policy:
56% : What: Local News in Times of Crisis: How Civic Media Is Rising to the Moment When: Fri., March 14, at 2 p.m. ET Who: Mike Rispoli (moderator), Free Press Action's senior director of journalism and civic information; Candice Fortman, former executive director of Outlier Media and Knight journalism fellow at Stanford; Kate Harloe, freelance journalist and writer, and member of the Freelance Solidarity Project at the National Writers Union; Carla Murphy, journalist, media organizer and assistant professor at Rutgers University-Newark; and Mazin Sidahmed, co-executive director of Documented.*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.