Digital violence and mental health
- Bias Rating
- Reliability
N/AN/A
- Policy Leaning
50% Medium Right
- 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
-63% Negative
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
Extremely
Liberal
Very
Liberal
Moderately
Liberal
Somewhat Liberal
Center
Somewhat Conservative
Moderately
Conservative
Very
Conservative
Extremely
Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
63% : ● Increase mental health literacy: Educating individuals on mental health helps them to learn emotional regulation skills and resilience that are pivotal in handling any challenge, including digital violence.35% : According to the United Nations, 38 per cent of women have experienced online violence, and 85 per cent have witnessed digital violence against others.
27% : According to a report by the United Nations, at least 15 per cent of children worldwide have experienced cyberbullying, and sexual abuse material involving children has been on the rise in recent times.
*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.
