Nearly 10,000 migrants moved from El Paso as daily crossings ease
- Bias Rating
2% Center
- Reliability
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- Policy Leaning
2% Center
- Politician Portrayal
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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
N/A
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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"DHS was thrust into overdrive at the start of last week as it directed U.S. Customs and Border Protection persoel to El Paso to assist with processing the influx of migrants." | Positive | 16% Conservative |
"We have deployed additional agents to the region and deployed improved processing systems, automated surveillance towers, rescue beacons, mobile processing units, medical screening persoel, and nearly 1,000 Border Patrol Processing Coordinators for processing migrants and ensuring border security, DHS said in a statement." | Positive | 8% Conservative |
"More than 3,400 migrants have been expelled from El Paso under Title 42 or deported by ICE over the past week." | Negative | -22% Liberal |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
58% :DHS was thrust into overdrive at the start of last week as it directed U.S. Customs and Border Protection personnel to El Paso to assist with processing the influx of migrants.54% :"We have deployed additional agents to the region and deployed improved processing systems, automated surveillance towers, rescue beacons, mobile processing units, medical screening personnel, and nearly 1,000 Border Patrol Processing Coordinators for processing migrants and ensuring border security," DHS said in a statement.
39% :More than 3,400 migrants have been expelled from El Paso under Title 42 or deported by ICE over the past week.
*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.