Sorry Tony, but the only person you have to blame for being booted out of office is yourself | Malcolm Farr
- Bias Rating
10% Center
- Reliability
65% ReliableFair
- Policy Leaning
10% Center
- Politician Portrayal
-40% Negative
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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.
Sentiments
-33% Negative
- Liberal
- Conservative
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
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Contributing sentiments towards policy:
65% : Politicians blaming other elements of government for their own failures is wrong - and bad for democracyThe excuses tumbled over each other as our former prime minister, Tony Abbott, gave his analysis of the failures of conservative governments including, of course, his own.50% : So, like Trump, the basis of his government was instinct, but if he had his time again he would, again like Trump, produce concepts rather than detailed policy.
41% : He vigorously opposed same-sex-marriage, which a majority of Australians - and voters in his own electorate - supported.
32% : He could rank himself with other leaders whose quest for glory he considered had been violated by public servants and "the establishment" -- Donald Trump and Britain's Boris Johnson.
28% : The pleading for political innocence and victimhood may amuse some who believe Abbott is deeply in debt to fellow Liberal Scott Morrison for relieving him of the title of worst Australian prime minister of the modern era.
28% : And as Trump has done, Abbott would get right-wing thinktanks to fill his empty policy coffers.
24% : As for the now US president-elect, Abbott had this to say: "In 2016, Donald Trump was first elected on a promise to 'drain the swamp' but eventually 'the swamp' got him."But immediately after this passage he criticised Trump for his ignorance: "As someone who had never been in government and was unfamiliar with Washington, he had instincts rather than well-developed policies or even well-thought-through ideas for how to develop policy.
*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.