Brian Kelly, LSU beat writer exchanging jabs at press conference goes...

Sep 07, 2022 View Original Article
  • Bias Rating

    90% Extremely Conservative

  • Reliability

    N/AN/A

  • Policy Leaning

    N/A

  • Politician Portrayal

    28% 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

SentenceSentimentBias
"We'll open it up to this late-arriving media crowd that must have enjoyed the weekend, Kelly said."
Positive
28% Conservative
"Kelly has a great sense of humor, unlike some LSU fans."
Positive
6% Conservative
"Leah Va, LSU beat writer for The Advocate in Baton Rouge, fired back: Maybe if you win, I'll be on time, referring to LSU's heartbreaking loss to Florida State in the season opener and Kelly's debut with the Tigers."
Positive
2% Conservative
"Brian Kelly called me out, said jokingly I owed him $10, I said if he won maybe I'd be on time."
Positive
0% Conservative
"I apologized afterward, he was super chill and said I still owe him $10I know Brian Kelly likes to joke, Va continued in a thread."
Positive
0% Conservative
"During a press conference ahead of LSU's home opener against Southern, Kelly teased the media members for their tardiness, seemingly calling out one reporter in particular."
Negative
-22% Liberal
"Brian Kelly has found himself as the butt of the joke a few times since his fake accent charade after taking the LSU job, but Tuesday he tried to doll out some of his own jabs."
Negative
-42% Liberal

Extremely
Liberal

Very
Liberal

Moderately
Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

Very
Conservative

Extremely
Conservative

-100%
Liberal

100%
Conservative

Contributing sentiments towards policy:

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*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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