Police in Nicola Bulley case face calls to change 'ingrained' culture
- Bias Rating
-10% Center
- Reliability
15% ReliablePoor
- Policy Leaning
-10% Center
- Politician Portrayal
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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
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- Liberal
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Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Contributing sentiments towards policy:
66% : 'The report makes clear that without this speculation can run unchecked and result in an extraordinary explosion of media and public interest in the case.63% : It was released by Lancashire PoliceDr Iain Raphael, who led the review, said: 'A professional, trusted, and appropriate working relationship between the police and the media is vital for public confidence.
61% : 'A successful working relationship between police forces and journalists remains essential to policing legitimacy and, in order to restore public confidence, the College must now work with the industry to usher in a new era of communication and co-operation which promotes an assumption of trust between officers and journalists as well as more trusted dialogue.
56% : The review found that the relationship between the police and the mainstream media has 'cooled' and action needs to be taken on all sides to help rebuild trust.
50% : It also concluded that the impact of social media on police investigations and public confidence is 'significant' and must be acknowledged.READ MORE - Revelation that Nicola Bulley was experiencing 'issues with alcohol' before she went missing was cleared with her family in advance, review reveals AdvertisementMs Bulley vanished after dropping her two daughters - aged six and nine - off at school in the Lancashire village of St Michael's-on-Wyre and walking spaniel Willow along a riverside path on January 27, sparking a massive search.
*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.