Railroads' Strategy Thrilled Wall Street, but Not Customers and Workers
- Bias Rating
-10% Center
- Reliability
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- Policy Leaning
10% Center
- Politician Portrayal
20% Negative
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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.
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Contributing sentiments towards policy:
54% : At its core, precision scheduled railroading focused on having fixed schedules for shipments rather than waiting for a certain amount of coal to be loaded before moving.53% : Another reform included switching from a system in which locomotives typically pulled one type of freight to one in which they might pull a mixture of grain, coal or other goods in intermodal cars -- which can switch among trains, trucks and ships -- allowing for longer trains and fewer employees.
49% : The freight rail industry says it has worked hard to adapt to rapid changes -- including the pandemic and, before that, a decline in demand for coal, a critical source of business.
48% : A single train with 100 cars of coal or grain would require hundreds of trucks to replace it.
47% : To make up for the decline in coal, freight shippers have tried to transport more grain, truck trailers, shipping containers and other goods, he said.
30% : The early years of deregulation were good for the industry.
*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.