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
Use of language that may present a subjective view or positive bias towards the company.
Phrases like 'our resilience remained unshaken' and 'elevating our brand’s competitiveness' suggest a positive bias towards the company's performance.
Suggested Changes
Replace subjective phrases with neutral language, e.g., 'the company maintained operations despite challenges' instead of 'our resilience remained unshaken'.
Unsubstantiated claims
Claims made without supporting evidence or data.
The statement 'We want our guests to feel special, as if they are the only ones in the hotel' lacks evidence or data to support how this is achieved.
Provide specific examples or data to support claims about guest experience improvements.
- 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.