During Maharashtra polls, Muslims didn't vote for BJP: Sharad Pawar | India News - Times of India

Source: The Times of India - View Original Article
Published: Jan 23, 2020
Category:
Bias Rating:

81% Conservative


Bias Score Calculation:


Policies:

Travel Ban
Religious Freedom
Common Core
Assisted Suicide

Sentiments

65% "Nationalist Congress Party (NCP) chief Sharad Pawar on Thursday claimed that during the Maharashtra Assembly elections last year Muslims did not vote for the ..."
54% "In the state, the change of guard which we are seeing is due to that.""
51% "Speaking at the NCP minority cell meeting, Sharad Pawar said, During Maharashtra elections, Muslims didn't vote for BJP.""
-57% "The Maha Vikas Aghadi government of Shiv Sena-Congress-NCP was formed in November last year after the BJP failed to prove its majority in the ..."
-86% "During elections, the minorities decide whom to defeat.""


*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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Contributing sentiments towards policy:

65% : Nationalist Congress Party (NCP) chief Sharad Pawar on Thursday claimed that during the Maharashtra Assembly elections last year Muslims did not vote for the Bharatiya Janata Party (BJP). Sharad Pawar, along with Maharashtra Deputy Chief Minister Ajit Pawar, addressed a meeting of the party's minority cell on Thursday at their party office.
54% : In the state, the change of guard which we are seeing is due to that.
51% : Speaking at the NCP minority cell meeting, Sharad Pawar said, "During Maharashtra elections, Muslims didn't vote for BJP.
43% : The Maha Vikas Aghadi government of Shiv Sena-Congress-NCP was formed in November last year after the BJP failed to prove its majority in the State assembly.
14% : During elections, the minorities decide whom to defeat.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization

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