Why should Kate Forbes' views on gay marriage deny her SNP leadership? | Sean O'Grady
- Bias Rating
-10% Center
- Reliability
75% ReliableGood
- Policy Leaning
10% Center
- Politician Portrayal
64% Positive
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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.
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
61% : That's also why Brexit was such a difficult issue for the British political system to deal with, because it broke up so many of the old dividing lines.48% : Under Angela Merkel's leadership, she held a vote on same-sex marriage, she implemented the results of that vote to introduce the legal right to equal marriage, but she voted in line with her conscience."
46% : Politics, in other words, works best when debates are conducted on class interests - rather than on nationalism - and when personal issues of conscience are decided by free votes in legislatures (and, very occasionally, referendums).
39% : These debates are sliding British politics towards the American model, where abortion, LGBT rights, gun control and religious tolerance are becoming polarised along party lines.
39% : It should, for example, be acceptable to be a devout Democrat and oppose abortion; or be a MAGA Trumpite and also believe in a woman's right to choose - but it's becoming increasingly difficult as faith groups align with political factions.
*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.