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 article uses sensational language to describe the Rolling Stones' album launch party.
It was a gas, gas, gas in a club on Manhattan's West Side late on Thursday...
Suggested Changes
Change the language to a more neutral tone.
Biased language
The article uses biased language to describe the Rolling Stones' album and their performance.
The Stones, in their seventh decade as a rock 'n roll band, tore through a half-dozen songs for a crowd of hundreds...
Use neutral language to describe the band's performance.
Omission of key information
The article fails to mention the title of the new album and the specific songs performed at the launch party.
The Stones closed with an appearance by Lady Gaga for , a slow, blues-infused number off the new album...
Include the title of the new album and the specific songs performed at the launch party.
- 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.