
The real story isn't young men supposedly voting far right. It's what young women are up to
- Bias Rating
10% Center
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
-55% Negative
Continue For Free
Create your free account to see the in-depth bias analytics and more.
Continue
Continue
By creating an account, you agree to our Terms and Privacy Policy, and subscribe to email updates. Already a member: Log inBias 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
30% Positive
- Liberal
- Conservative
Sentence | Sentiment | Bias |
---|---|---|
Unlock this feature by upgrading to the Pro plan. |
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:
52% : That the media chooses nevertheless to focus on young men illustrates the male gaze that continues to dominate society, which not only means that whatever men do or think is deemed inherently important and worthy of both academic and political attention, but also sets men as the norm.44% : Moreover, as decades of academic research have shown, it serves mainly to help far-right parties while hurting centre-left parties, which end up losing (young, female) progressive voters and barely gaining the (male) reactionary voters they court.
40% : It is frequently used to explain the rise of Donald Trump, while in Europe there has been an explosion of articles claiming that young people, particularly young men, are "driving far-right support".
*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.