BJP MLAs protest in J&K Assembly, raise 'Stop Discrimination' slogans after speaker rejects motion on Jammu weather-induced losses
- Bias Rating
- Reliability
20% ReliableLimited
- Policy Leaning
-70% Medium Left
- 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
-53% Negative
- Liberal
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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%
Conservative
Contributing sentiments towards policy:
65% : BJP MLAs protest in J&K Assembly, raise 'Stop Discrimination' slogans after speaker rejects motion on Jammu weather-induced losses The Jammu and Kashmir Assembly on Monday witnessed uproarious scenes after Speaker Abdul Rahim Rather rejected an adjournment motion brought by BJP MLA Pawan Gupta seeking discussion on weather-induced losses in the Jammu region.59% : The BJP legislators alleged that the delay in discussing the weather-related damages reflected "discrimination" against the Jammu region, insisting that the losses required urgent government response.
59% : The BJP legislators alleged that the delay in discussing the weather-related damages reflected "discrimination" against the Jammu region, insisting that the losses required urgent government response.
55% : As soon as the Speaker announced that the matter would be taken up for discussion tomorrow, BJP MLAs stood up from their seats, raising slogans of "Stop discrimination" and "Insaf Karo, Insaf Karo," demanding immediate attention to the issue.
55% : As soon as the Speaker announced that the matter would be taken up for discussion tomorrow, BJP MLAs stood up from their seats, raising slogans of "Stop discrimination" and "Insaf Karo, Insaf Karo," demanding immediate attention to the issue.
*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.
