Hyderabad Doctor's 8-Year Battle Changes India's ORS Labelling Rules
- Bias Rating
- Reliability
35% ReliableAverage
- Policy Leaning
2% 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
-11% 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%
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100%
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Contributing sentiments towards policy:
67% : A victory of persistence and public support Following the announcement, Dr Santosh posted on Instagram, thanking the collective effort behind the success.48% : In 2022, she took her campaign to court, filing a Public Interest Litigation (PIL) in the Telangana High Court, urging action against brands misusing the 'ORS' label without following WHO-recommended formulas, according to a report in The Hindu. Court intervention and FSSAI's initial response Recognising the public health risks, the Telangana High Court, led by the Chief Justice, sought formal responses from the FSSAI and the Drug Controller General of India (DCGI).
34% : These actions, FSSAI said, constitute misbranding and misleading advertising, which are punishable under Sections 52 and 53 of the Act.
*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.
