
How I conquered stage-four breast cancer - Media consultant, Ikejiani
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
-98% Very 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
-18% Negative
- Liberal
- Conservative
Sentence | Sentiment | Bias |
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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-100%
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Contributing sentiments towards policy:
67% : I was fully involved in understanding my medications.67% : I remember waiting about eight hours to get my drugs.
65% : Following international standards of care made a significant difference in my journey.
64% : They conducted new MRI and CT scans to evaluate my progress since my last scans in Nigeria.
62% : The first step was the biopsy, which saved my life.
62% : As a stage-four cancer survivor entering Nigeria's cancer ecosystem, I confirmed that I could get my drugs from a pharmaceutical firm and register at the National Hospital, Abuja, which provided the medications.
60% : My support system was critical: my doctor and my best friend, who unfortunately passed away in 2023, were both instrumental.
58% : The National Health Insurance Authority has programmes in partnership with Roche Pharmaceuticals and other providers to support cancer patients.
55% : That's when they discovered tumours in my organs and confirmed stage-four breast cancer.
54% : I didn't want to wait, so I contacted my long-time doctor in Toronto to inform her of my diagnosis.
51% : People should also reach out to organisations such as the Nigerian Cancer Society and Medicaid.
48% : I began losing my hair but never became seriously ill.
48% : When my tumours started shrinking and disappearing, I had to return to Nigeria, which felt unusual because most people assume that if you have cancer, you'd stay abroad.
*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.