Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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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.
Use of sensational language to attract attention.
The title '“Knocked The Dude Out In The Airport, He Was Tryna Fight Shaq”: Pacman Jones Reveals How His Relationship With Shaquille O’Neal Blossomed' uses sensational language to attract readers.
Use a more neutral title that does not emphasize violence or sensational aspects of the story.
Attempting to manipulate an emotional response in place of a valid or compelling argument.
The narrative of the article, particularly the quotes from Shaquille O’Neal expressing gratitude, is designed to elicit an emotional response from the reader.
Provide a more balanced account of the event without emphasizing emotional statements.
Using personal experience or an isolated example instead of a sound argument or compelling evidence.
The article relies heavily on the personal anecdotes of Pacman Jones and Shaquille O’Neal to tell the story.
Include additional sources or information to provide a more comprehensive view of the event.
- 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.