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.
Appeal to emotion
The article uses emotive language to create a positive narrative around Wrexham's potential.
Phrases like 'exciting project', 'on the up', and 'every chance to sign him' appeal to the reader's emotions and may create a sense of optimism about Wrexham's future.
Suggested Changes
Use more neutral language to describe the club's prospects and the player's potential transfer.
Biased language
The article uses language that favors Wrexham's perspective.
The use of phrases like 'deep pockets', 'big dreams', and 'exciting time' suggests a bias towards Wrexham's point of view.
Present information about the player and the club's situation in a more balanced and neutral tone.
Unsubstantiated claims
The article makes claims about the player's future without providing concrete evidence.
Statements like 'Wrexham has every chance to sign him permanently' are presented without clear evidence or acknowledgment of the speculative nature of transfer discussions.
Clarify that such claims are speculative and not confirmed by the parties involved.
- 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.