Daily Mail Online Article RatingLiz Truss hits out at trans rights mob harassing university professor
- Bias Rating
32% Somewhat Conservative
- Reliability
N/AN/A
- Policy Leaning
44% Medium Conservative
- Politician Portrayal
-3% 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
N/A
- 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:
44% : Ms Stock also claims trans women are not women; and sexual orientation is determined by same-sex attraction, not attraction to gender identity.42% : not gender or gender identity;The claim 'transwomen are women' is a fiction, not literally trueSexual orientation (being gay, being lesbian) is determined by same-sex attraction, not attraction to gender identitySpaces where women undress and sleep should remain genuinely single-sex, in order to protect them;Children with gender identity disorders should not be given puberty blockers as minors.
41% : She has written and spoken extensively about sex and gender identity - arguing that womanhood and manhood reflect biological sex, not gender or gender identity.
*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.