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.
Exaggerating or sensationalizing aspects of the story to attract attention.
The phrase 'rarely been seen out in public since 2023' and 'drew plenty of attention when he was spotted in London' are examples of sensationalism.
Replace 'rarely been seen out in public since 2023' with 'has kept a low profile since 2023'.
Replace 'drew plenty of attention when he was spotted in London' with 'was seen in London'.
Using emotional language to elicit an emotional response from the reader.
The phrase 'blessed to travel the world as a young kid' is an appeal to emotion.
Replace 'blessed to travel the world as a young kid' with 'had the opportunity to travel the world as a young kid'.
- 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.