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Media Manipulation and Bias Detection

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Bias report

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Objectivity Score

20

Low

Balance Icon
Article Title:  

President Joe Biden Recalls Getting a Standing Ovation in Law School.  

[ 3/13/2024 11:30:34 PM ] Read on twitchy.com
Report Overview: The article contains numerous instances of biased language, sensationalism, ad hominem attacks, and unsubstantiated claims. It lacks balance in reporting and relies heavily on sarcasm and ridicule rather than presenting facts objectively.
Sides Objectivity Scores
Sides Representation Balance
Favored Side
None

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 exciting or shocking stories at the expense of accuracy, to provoke public interest or excitement.

    The article uses sensational language to describe President Biden's anecdotes, such as 'his brain is mush' and 'President Walter Mitty strikes again'.

    Suggested Changes

    Use neutral language to describe the president's anecdotes and avoid sensational terms.

  • Biased language

    Language that is biased or contains a partial perspective.

    The article uses biased language throughout, including phrases like 'beloved storyteller' and 'rambling nonsense'.

    Replace biased terms with neutral descriptions of the president's behavior.

  • Ad hominem attacks

    Attacking the person making the argument, rather than the argument itself.

    The article attacks President Biden personally by suggesting 'his brain is mush' and implying he is delusional.

    Focus on the veracity of the president's statements rather than personal attacks.

  • Unsubstantiated claims

    Claims made without evidence to support them.

    The article presents claims such as 'I met someone in a hipster coffee shop who went to law school with Biden and confirmed the story' without providing evidence.

    Provide evidence for claims made or clarify when a statement is an opinion or hearsay.

  • Unbalanced reporting

    Reporting that lacks a fair representation of all sides of a story.

    The article focuses solely on negative anecdotes and criticisms of President Biden, without presenting any counterpoints or context.

    Include information that provides a more balanced view of the president's career and statements.

  • Appeal to emotion

    Attempting to manipulate an emotional response in place of a valid or compelling argument.

    The article uses phrases like 'imagine being regaled by this rambling nonsense' to evoke frustration and ridicule.

    Avoid language that is designed to evoke an emotional response and stick to factual reporting.

  • Slippery slope

    A fallacy that suggests a small step will lead to a chain of related events culminating in some significant effect.

    The article implies that because President Biden has made inaccurate statements, he is therefore unfit for office ('his brain is mush').

    Avoid suggesting that one aspect of a person's behavior determines their overall capability.

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- 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.