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.
Sensationalism
The use of exaggerated or provocative language to evoke strong emotions or reactions.
The article uses phrases like 'snaked her way' and 'took it over' to describe Lady Gaga's involvement in the recording session, which sensationalizes her actions.
Suggested Changes
Use neutral language to describe Lady Gaga's involvement in the recording session.
Biased language
The use of language that favors one side or perspective over others.
The article portrays Lady Gaga in a negative light by using phrases like 'snaked her way' and 'took it over'.
Use neutral language to describe Lady Gaga's actions.
Omission of key information
Leaving out important details or facts that could provide a more balanced or complete picture.
The article focuses on Lady Gaga's presence in the recording session but omits key information about the collaboration with Stevie Wonder.
Include information about the planned collaboration with Stevie Wonder to provide a more balanced perspective.
- 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.