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 or sensationalizing events to attract attention.
Phrases like 'electrifying pre-Olympic tour performance' and 'sending his teammates into a frenzy' are examples of sensationalism.
Suggested Changes
Replace 'electrifying pre-Olympic tour performance' with 'strong pre-Olympic tour performance'.
Replace 'sending his teammates into a frenzy' with 'eliciting strong reactions from his teammates'.
Biased language
Using language that shows a preference or bias towards a particular side.
The use of 'King James' and 'BRON SO NICE' can be seen as biased language.
Use 'LeBron James' instead of 'King James'.
Quote the comments without the emphasis, e.g., 'Ja Morant wrote, “bron been hooping!!”' and 'Tyrese Maxey commented, “BRON SO NICE.”'
- 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.