Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Optical Illusion Challenge
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.
Using exciting or shocking language to provoke interest.
Phrases like 'Even those with the sharpest of eyes struggle with this one' and 'this mind-boggling test is so hard it's said that only 1% of people can solve it' are examples of sensationalism.
Replace sensational phrases with more neutral language, such as 'This challenge may be difficult for some' or 'This test is challenging for many people.'
Making claims without evidence to support them.
The article claims that 'by doing regular puzzles, it can help to improve concentration and cognitive functions' without providing evidence or studies to support this.
Provide references to studies or expert opinions that support the claim about the benefits of doing puzzles.
- 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.