The Guardian view on festive marketing: stop spending like there's no tomorrow | Editorial

Nov 21, 2023 View Original Article
  • Bias Rating

    10% Center

  • Reliability

    60% ReliableFair

  • 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

N/A

  •   Liberal
  •   Conservative
SentenceSentimentBias
"A small part of the job could be done by tightening up regulation in order to make the daily bombardment of ads bear more semblance to reality."
Positive
8% Conservative
"The ASA declined to investigate complaints as it was developing regulations around travel ads (for which it did use the easyJet campaign as research)."
Negative
-2% Liberal
"As a new book, Badvertising by Andrew Simms and Leo Murray, records, of the 503 complaints about misleading environmental ads made last year to the ASA, almost 90"
Negative
-30% Liberal
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Bias Meter

Extremely
Liberal

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Liberal

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Liberal

Somewhat Liberal

Center

Somewhat Conservative

Moderately
Conservative

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Conservative

-100%
Liberal

100%
Conservative

Bias Meter

Contributing sentiments towards policy:

54% : A small part of the job could be done by tightening up regulation in order to make the daily bombardment of ads bear more semblance to reality.
49% : The ASA declined to investigate complaints as it was developing regulations around travel ads (for which it did use the easyJet campaign as research).
35% : As a new book, Badvertising by Andrew Simms and Leo Murray, records, of the 503 complaints about misleading environmental ads made last year to the ASA, almost 90% were not investigated as they were outside the watchdog's remit or not in violation of regulations.

*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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