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.
Biased language
The article contains biased language that favors George Clooney.
The article uses phrases like 'Thanks, George' and 'your proposal' which show a positive bias towards George Clooney.
Suggested Changes
Use neutral language when referring to both sides.
Omission of key information
The article omits key information about the strike and the union's requests.
The article does not provide details about the specific issues the union is striking over or the studio and streamers' offer.
Include more information about the strike and the union's requests to provide a more balanced view.
Unbalanced reporting
The article presents Fran Drescher's perspective more favorably than George Clooney's.
The article includes more quotes and information from Fran Drescher, making her perspective more prominent.
Include more quotes and information from George Clooney to provide a more balanced representation of both sides.
- 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.