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NY Times Article Rating

Panthers' free-agent shopping list: 5 possible targets at 5 positions of need

  • Bias Rating

    10% Center

  • Reliability

    60% ReliableAverage

  • Policy Leaning

    10% Center

  • Politician Portrayal

    N/A

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

31% Positive

  •   Liberal
  •   Conservative
SentenceSentimentBias
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Bias Meter

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Center

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-100%
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100%
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Bias Meter

Contributing sentiments towards policy:

57% : Josh Sweat, Philadelphia (No. 5) Chase Young, New Orleans (No. 21) Baron Browning, Arizona (No. 88) Azeez Ojulari, New York Giants (No. 93) Michael Hoecht, Los Angeles Rams (No. 101) Sweat put on a Kony Ealy-like performance in the Super Bowl, pressuring Patrick Mahomes all game, sacking him 2 1/2 times and making himself a lot of money in the process.
51% : Milton Williams, Philadelphia (No. 2) D.J. Jones, Denver (No. 34) Poona Ford, Los Angeles Chargers (No. 35) Jarran Reed, Seattle (No. 53) Dre'Mont Jones (No. 94)
43% : Carlton Davis, Detroit (No. 18) Byron Murphy, Minnesota (No. 31) Kristian Fulton, Los Angeles Chargers (No. 78) Mike Hilton, Cincinnati (No. 95) Jourdan Lewis, Dallas (No. 98) The Panthers need another nickel corner to replace Dane Jackson and could need an outside corner if they don't re-sign Mike Jackson.
33% : Justin Reid, Kansas City (No. 7) Jevon Holland, Miami (No. 19) Tre'von Moehrig, Las Vegas (No. 23) Justin Simmons, Atlanta (No. 74) Julian Blackmon, Indianapolis (No. 130)
32% : Chris Godwin, WR, Tampa Bay (No. 3) Juwan Johnson, TE, New Orleans (No. 14) Darius Slayton, WR, New York Giants (No. 54) Tyler Lockett, WR, Seattle (No. 57) Mike Gesicki, TE, Cincinnati (No. 59)

*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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