MRA Calls For Protection of Journalists Covering Off-Cycle Elections in Bayelsa, Imo, Kogi | African Examiner
View Original Article-22% Somewhat Liberal
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*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.
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*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.
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Reliability Score Analysis
The Reliability Score of the article is determined on a percentage score basis from 0 to 100%.
- Opposite Sources as Poor for the lower number of sources with different viewpoints.
- Unique Sources as Poor for the lower number of different sources.
- Multiple Sources as Poor for the lower number of total sources.
- Multiple Quotes as Excellent for a very high number of quotes used in the article.
- Quote Length as Excellent for a very high number of words used in each quote.
Opposite Sources: 0% Poor (Grade F) Unique Sources: 0% Poor (Grade F) Multiple Sources: 0% Poor (Grade F) Multiple Quotes: 100% Excellent (Grade A) Quote Length: 100% Excellent (Grade A)
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.
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Policy Leaning Analysis
This article includes the following sentiments, providing an average bias score of -22% Liberal:
- 1 positive sentiment for Government Interference
- 1 positive sentiment for Sanctuary Cities
""According to him, "Access to information enables citizens and other members of the public to have the information they need about political and electoral processes and therefore facilitates effective public participation in elections."
"(AFRICAN EXAMINER) - Ahead of Saturdays off-cycle elections holding in Imo, Kogi and Balyela States of Nigeria, Media Rights Agenda (MRA) has called on Federal and State Governments as well as law enforcement and security agencies to take adequate measures to protect journalists and other media workers during polls."
Policies:
Government InterferenceSanctuary Cities
Sentiments
- Liberal
2% "(AFRICAN EXAMINER) - Ahead of Saturdays off-cycle elections holding in Imo, Kogi and Balyela States of Nigeria, Media Rights Agenda (MRA) has called on ..."
*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. 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:
60% : "According to him, "Access to information enables citizens and other members of the public to have the information they need about political and electoral processes and therefore facilitates effective public participation in elections.51% : (AFRICAN EXAMINER) - Ahead of Saturdays off-cycle elections holding in Imo, Kogi and Balyela States of Nigeria, Media Rights Agenda (MRA) has called on Federal and State Governments as well as law enforcement and security agencies to take adequate measures to protect journalists and other media workers during polls.
*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.