Toronto Star Article Rating

Jaime Watt: Three moves our next Prime Minister should make to win over Donald Trump

  • Bias Rating

    10% Center

  • Reliability

    45% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -18% Negative

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

Overall Sentiment

4% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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-100%
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Bias Meter

Contributing sentiments towards policy:

83% : For Trump, everything must be "the biggest" or "greatest ever."
53% : LeBlanc exemplifies the affable, backslapping persona that is far more likely to resonate with Trump.
52% : Perception matters, especially with Trump.
46% : It was no accident that Trudeau brought longtime ally and Public Safety Minister Dominic LeBlanc -- not the foreign affairs minister or deputy prime minister -- to his meetings with Trump.
42% : Feminism, rights for marginalized groups, or social welfare, frankly, are not things Trump has a lot of time for and Poilievre must emphasize his focus on the economy and his "common sense" agenda, in his dealings with the incoming president.
35% : Trump isn't just uninterested -- he harbors a deep, visceral dislike, and disrespect for both the Prime Minister and his government -- Deputy Prime Minister Chrystia Freeland chief among them.
34% : Nonetheless, Trump is famously unpredictable and often bases his alliances on personal dynamics rather than policy alignment.
29% : But Trump has proven time and again that he can do away with that conventional awkwardness and has no issue boasting and saying things most decent people would find to be in bad taste.
20% : For instance, take the fentanyl crisis -- a major issue for Trump.

*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.

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