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
Use of sensational language or scenarios to provoke interest, excitement, or shock.
The article title 'Portugal passes Ronaldo's No 7 Jersey to someone else after 17 years' suggests a permanent and significant change, which is not fully supported by the article content.
Suggested Changes
Change the title to 'Portugal Temporarily Assigns Ronaldo's No 7 Jersey to Bruma in His Absence'
Biased language
Use of language that is not neutral and shows a particular preference or bias.
The phrase 'the cherished handiness it had over the latter' implies a subjective positive quality of the Portugal team over Sweden, which is not necessary for a factual recount of the match.
Replace with 'the advantage it had over the latter', to maintain a neutral tone.
- 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.