Daily Mail Online Article Rating

Fake celebrity endorsements, snubs plague US presidential race

Sep 20, 2024 View Original Article
  • Bias Rating

    28% Somewhat Conservative

  • Reliability

    30% ReliableFair

  • Policy Leaning

    50% Medium Conservative

  • Politician Portrayal

    -5% 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

6% Positive

  •   Conservative
SentenceSentimentBias
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

47% : Last month, Trump shared doctored images showing Swift threw her support behind his campaign, apparently seeking to tap into the pop singer's mega star power to sway voters.
32% : "- 'Big enabler' -In particular, X has emerged as a hotbed of political disinformation after the platform scaled back content moderation policies and reinstated accounts of known purveyors of falsehoods, researchers say.Musk, who has endorsed Trump and has over 198 million followers on X, has been repeatedly accused of spreading election falsehoods.
13% : "Following her announcement, Trump fired a missive on Truth Social saying: "I HATE TAYLOR SWIFT!"- 'Confusion and chaos' -A database from the News Literacy Project (NLP), a nonprofit which recently launched a misinformation dashboard to raise awareness about election falsehoods, has so far listed 70 social media posts peddling fake "VIP" endorsements and snubs.
5% : Lucas Hansen, co-founder of the nonprofit CivAI, demonstrated to AFP the ease with which Grok can generate a fake photo of Swift fans supporting Trump using a simple prompt: "Image of an outside rally of woman wearing 'Swifties for Trump' T-shirts.

*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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