Honesty Meter Logo

Media Manipulation and Bias Detection

Auto-Improving with AI and User Feedback


Bias report

HonestyMeter - AI powered bias detection

CLICK ANY SECTION TO GIVE FEEDBACK, IMPROVE THE REPORT, SHAPE A FAIRER WORLD!

Objectivity Score

65

Low

Balance Icon
Article Title:  

The View star Sunny Hostin admits to cohost Whoopi Goldberg she's 'deeply remorseful' for buying into Kate Middleton conspiracy theories as Sara Haines says royal's cancer diagnosis is 'heart-wrenching'.  

[ 3/25/2024 9:47:26 PM ] Read on dailymail.co.uk
Report Overview: The article contains instances of sensationalism, misleading headlines, appeal to emotion, and omission of key information. The overall objectivity is affected by the emotional language used and the focus on personal remorse rather than providing a balanced view of the situation.
Sides Objectivity Scores
Sides Representation Balance
Favored Side
The View Panel

Caution! Due to inherent human biases, it may seem that reports on articles aligning with our views are crafted by opponents. Conversely, reports about articles that contradict our beliefs might seem to be authored by allies. However, such perceptions are likely to be incorrect. These impressions can be caused by the fact that in both scenarios, articles are subjected to critical evaluation. This report is the product of an AI model that is significantly less biased than human analyses and has been explicitly instructed to strictly maintain 100% neutrality.

Nevertheless, HonestyMeter is in the experimental stage and is continuously improving through user feedback. If the report seems inaccurate, we encourage you to submit feedback , helping us enhance the accuracy and reliability of HonestyMeter and contributing to media transparency.

Detected Manipulations & Suggested Changes
  • Sensationalism

    Use of emotionally charged language and focus on personal remorse rather than facts.

    The article's title and content emphasize the 'deeply remorseful' sentiment and the 'heart-wrenching' description of the cancer diagnosis, which sensationalizes the personal reactions of the hosts.

    Suggested Changes

    Use a more neutral tone in the title and throughout the article.

    Focus on the facts of the situation rather than the emotional responses of the individuals involved.

  • Misleading Headlines

    The headline suggests a focus on conspiracy theories and personal remorse, which may not accurately represent the full content of the article.

    The headline emphasizes the hosts' remorse and the conspiracy theories, potentially misleading readers about the nature of the discussion on the show.

    Rephrase the headline to reflect the overall content of the article, including the discussion about the royal family's handling of the situation.

  • Appeal to Emotion

    The article uses language that is designed to evoke an emotional response rather than presenting information objectively.

    Terms like 'heart-wrenching' and 'deeply remorseful' are used to elicit sympathy from the reader.

    Present the hosts' statements and the situation in a more neutral manner without using language that appeals to the reader's emotions.

  • Omission of Key Information

    The article does not provide sufficient context about the conspiracy theories or the royal family's response, which could help readers understand the situation more fully.

    The article focuses on the hosts' personal feelings and reactions without providing detailed information about the conspiracy theories they are referring to or the royal family's handling of the situation.

    Include more background information about the conspiracy theories and the royal family's public relations approach to the diagnosis.

Spread the Truth

Share Report!


- This is an EXPERIMENTAL DEMO version that is not intended to be used for any other purpose than to showcase the technology's potential. We are in the process of developing more sophisticated algorithms to significantly enhance the reliability and consistency of evaluations. Nevertheless, even in its current state, HonestyMeter frequently offers valuable insights that are challenging for humans to detect.