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
Exaggerating events to create a more exciting story.
Phrases like 'saved by the stars who defined a generation' and 'releasing emotional screams of joy and relief' are examples of sensationalism.
Suggested Changes
Use more neutral language to describe the players' performances and reactions.
Avoid hyperbolic phrases that exaggerate the significance of the events.
Biased language
Using language that unfairly favors one side over another.
The article refers to Team USA as 'constructed of gods who are worshiped worldwide' and describes their victory as 'an all-time moment.'
Use more balanced language to describe both teams.
Avoid using terms that elevate one team to an almost mythical status.
Unbalanced reporting
Giving more attention or favorable coverage to one side over another.
The article focuses heavily on the performances of Curry, James, and Durant, with less attention given to Serbia's efforts and Jokic's performance.
Provide more detailed coverage of Serbia's performance and Jokic's contributions.
Ensure that both teams are given equal attention and coverage.
- 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.