Imposing Section 144 was unwarranted: Report | Mangaluru News - Times of India

Source: The Times of India - View Original Article
Published: Jan 22, 2020
Category:
Bias Rating:

100% Conservative


Bias Score Calculation:


Policies:

Travel Ban
ICE
Assisted Suicide
War on Terrorism
Religious Freedom

Sentiments

97% "The report of the People's Tribunal on the police firing in Mangaluru on December 19 last year, observed that, The imposition of prohibitory orders ..."
90% "Further, they noted that it is clear from statements by journalists present at the scene of the violence that force was deliberately administered against ..."
89% "It is pertinent to note that none of the ingredients that warrant an imposition of prohibitory orders under section 144 of the CrPC were ..."
82% "V Gopala Gowda, B T Venkatesh and Sugata Srinivasaraju.""


*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:

97% : The report of the People's Tribunal on the police firing in Mangaluru on December 19 last year, observed that, "The imposition of prohibitory orders under section 144 of CrPC were unwarranted.
90% : Harsha imposed prohibitory orders under Section 144 of the CrPC on the evening of December 18, the order was not effectively communicated to the residents of the area.
90% : Further, they noted that it is clear from statements by journalists present at the scene of the violence that force was deliberately administered against journalists, even after they identified themselves to the police officials.
89% : "It is pertinent to note that none of the ingredients that warrant an imposition of prohibitory orders under section 144 of the CrPC were present.
82% : V Gopala Gowda, B T Venkatesh and Sugata Srinivasaraju.

*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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