IndiGo fiasco: Who is accountable and why refund is not enough for passengers - The Statesman
- Bias Rating
- Reliability
20% ReliableLimited
- Policy Leaning
-4% Center
- Politician Portrayal
N/A
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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% Negative
- Liberal
- Conservative
| 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% : DGCA's half-step on fatigue: CAR vs circular On paper, DGCA did the right thing in 2024 by strengthening prescriptive FDTL regulations through a CAR.51% : Why was an FRMS framework left at the draft/circular stage instead of being embedded in binding regulation before FDTL tightening? ◦
45% : It becomes a public-interest and public-trust issue.
39% : But by 2025, instead of embedding a full Fatigue Risk Management System (FRMS) regime in regulation, it floated draft FRMS guidelines/framework - essentially via circular-style guidance - to "complement duty time norms" and collect feedback.
*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.
