Rolling Stone Article Rating

Lindsey Graham Admits Trump 'May Not Win' If He Keeps Mudslinging

  • Bias Rating

    10% Center

  • Reliability

    60% ReliableFair

  • Policy Leaning

    10% Center

  • Politician Portrayal

    -30% 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

-17% Negative

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

52% : J.D. Vance Likes That Trump 'Will Talk to Anybody,' Including Nazi-Loving Nick FuentesAs Vice President Kamala Harris expands her lead in polls nationally and in battleground states, former president Donald Trump has become more erratic, rambling and unpredictable -- so much so that one of his staunchest allies says if he can't get back on message, Trump may lose in November.
49% : But policy is low on the agenda when Trump gives his ranting and meandering rally speeches and press conferences.
33% : At a news conference this past Thursday that was promoted as focusing on the economy and inflation, Trump said, "I think I'm entitled to personal attacks."
28% : Sen. Lindsey Graham, during a Sunday interview on NBC's Meet the Press, admitted that Trump, "the provocateur, the showman, may not win this election.
25% : Trump relishes in the mudslinging.
21% : "Host Kristen Welker played Graham a clip of former South Carolina governor Nikki Haley critiquing Trump for not staying on message.
1% : "Welker then asked, "Do you think former president Trump should stop talking about Vice President Harris' race and intelligence?"Graham responded by asking Haley and other Republicans criticizing Trump to "get together and actually campaign for the guy, rather than just give advice.

*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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