United States: Airlines cancel more than third of scheduled flights as winter storm intensifies.

[ 25/01/2026 13:48 ] Read on newsonair.gov.in

Report Overview: The article is a short, factual report on weather-related flight cancellations and emergency measures. It mostly relies on neutral language and verifiable information (flight cancellations, emergency declarations, weather conditions, power outages). There is minimal evaluative or emotional framing. The only mild issue is a somewhat dramatic phrase about people "shivering for days," which leans slightly toward sensationalism/appeal to emotion. Overall, manipulative techniques are rare relative to the total number of statements.

Sides Objectivity Scores

Government/Authorities (President, FEMA, Homeland Security, local authorities) (96)

Airlines (96)

Residents/Passengers/Public (95)

Sides Representation Balance

Favored Side

Government/Authorities (President, FEMA, Homeland Security, local authorities)

Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.

Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.

Detected Manipulations & Suggested Changes

Sensationalism / Appeal to emotion

Use of vivid or dramatic language to provoke strong emotional reactions or make the situation seem more extreme than strictly supported by the facts.

1) "Officials warned that Sunday could rank among the worst days for weather-related flight disruptions in US aviation history." This is framed as a possibility ("could rank among the worst"), which is somewhat dramatic but still attributed to officials and plausible given a major storm. It borders on sensationalism but remains within reasonable warning language. 2) "More than half of Americans will experience subzero wind chills, locking snow and ice in place and leaving those without power shivering for days." The phrase "shivering for days" is emotionally charged and somewhat speculative. It paints a vivid, distressing image without specifying duration, locations, or conditions (e.g., availability of shelters, restoration timelines). This leans toward sensationalism and appeal to emotion.

Replace "could rank among the worst days for weather-related flight disruptions in US aviation history" with a more precise, data-based formulation, for example: "Officials warned that Sunday may see one of the highest numbers of weather-related flight disruptions in recent years, based on current forecasts and cancellation trends."

Replace "leaving those without power shivering for days" with a more neutral, factual description, such as: "potentially leaving some residents without power for extended periods" or "potentially resulting in prolonged power outages for affected residents."

Where possible, add concrete data or timeframes instead of vague dramatic phrasing, e.g.: "Utility companies warned that in some areas power restoration could take up to 48–72 hours due to ice accumulation and infrastructure damage."

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- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.