PJ Media Article Rating

The Media Wants You to Blame Trump for Team USA's Defeat

  • Bias Rating

    34% Somewhat Conservative

  • Reliability

    50% ReliableAverage

  • Policy Leaning

    54% Medium Conservative

  • Politician Portrayal

    -10% 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

9% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

73% : Trump wrote that "he'd be watching and that if Governor Trudeau would like to join us, he would be most welcome." Later, the President shared a video showing that he indeed called the U.S. team before the game.
64% : Trump has adopted the U.S. team as his own.
49% : The rivalry carried more than just athletic weight: it was laced with political undertones.
48% : The implication is comical -- did Trump personally coach the team, sharpen their skates, or handpick the roster?
37% : Team USA's players weren't skating for Trump; they were playing for their country, just as they would under any administration.
31% : But it also went to extraordinary lengths to make the team's defeat about Trump, declaring that Trump had "adopted the U.S. team as his own," as if supporting his country's team was out of the ordinary, and that another president wouldn't similarly engage in harmless sports rivalry.
29% : But because Team USA lost, TIME seized the opportunity to frame it as some kind of political defeat, as if the players were merely proxies for Trump himself.
23% : For some reason, TIME felt it had to inject Donald Trump into an international hockey game, as if Trump bore some responsibility for the outcome.

*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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