NY TimesHow the Cost of Housing Became So Crushing
- Bias Rating
14% Somewhat Conservative
- Reliability
35% ReliableFair
- Policy Leaning
14% Somewhat Conservative
- 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% Negative
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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100%
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Contributing sentiments towards policy:
43% : The roots of the property crisis run deep and have proved very hard to fix.Hosted by Michael BarbaroFeaturing Conor DoughertyProduced by Alex SternOlivia Natt and Clare ToeniskoetterEdited by Liz O. Baylen and Lisa ChowOriginal music by Pat McCuskerMarion LozanoDiane WongDan Powell and Will ReidEngineered by Chris WoodListen and follow 'The Daily'Apple Podcasts | Spotify | Amazon Music | YouTube | iHeartRadioOver the past year, frustration over the cost of housing in the United States has become a centerpiece of the presidential race, a focus of government policy and an agonizing nationwide problem.*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.