Media Manipulation and Bias Detection
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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.
Use of dramatic language to provoke interest.
The title 'Cristiano Ronaldo vs Lionel Messi clash in doubt as fans distraught over U-turn' uses sensational language to create a dramatic narrative.
Use a more neutral title such as 'Potential postponement of friendly match between Cristiano Ronaldo and Lionel Messi's teams'.
Language that is partial or prejudiced towards particular views.
The phrase 'Cristiano Ronaldo 'doesn't deserve answering' after scathing criticism backfires' implies a negative connotation towards Ronaldo without providing context.
Provide context for the criticism and avoid language that implies judgment without explanation.
Claims made without providing evidence or support.
Ronaldo's statement that the Saudi Pro League is 'better' than Ligue 1 is presented as a fact without providing supporting evidence.
Clarify that Ronaldo's statement is his opinion and not a fact, and provide data or expert analysis to support or refute the claim.
- 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.