Opinion | What happens when Harvard supporters act like Trump supporters

  • Bias Rating

    10% Center

  • Reliability

    10% ReliablePoor

  • Policy Leaning

    10% Center

  • Politician Portrayal

    38% 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

N/A

  •   Conservative
SentenceSentimentBias
"And here are the clear parallels to Republicans who have sheltered Trump: Gay's supporters seem to have become so focused on denying her conservative critics a victory, so intent on proving that outsiders can't boss them around, they failed to count the institutional and reputational costs of making that point."
Negative
-34% Liberal
"But not as bad as Trump leaves plenty of room for still quite bad."
Negative
-42% Liberal
"And here are the clear parallels to Republicans who have sheltered Trump: Gay's supporters seem to have become so focused on denying her conservative critics a victory, so intent on proving that outsiders can't boss them around, they failed to count the institutional and reputational costs of making that point."
Negative
-18% Liberal
"But not as bad as Trump leaves plenty of room for still quite bad."
Negative
-22% Liberal

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-100%
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100%
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Contributing sentiments towards policy:

33% : And here are the clear parallels to Republicans who have sheltered Trump: Gay's supporters seem to have become so focused on denying her conservative critics a victory, so intent on proving that outsiders can't boss them around, they failed to count the institutional and reputational costs of making that point.
29% : But "not as bad as Trump" leaves plenty of room for "still quite bad."

*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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