Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Mark Walter
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 article uses phrases like 'eye-watering $10 billion' and 'stunning $680 million' which may exaggerate the financial aspects to create a more dramatic effect.
Use more neutral language to describe the financial figures, such as 'significant investment' or 'notable contract'.
Making claims without providing evidence or sources to back them up.
The article states, 'experts credit 65-year-old Walter for investing it shrewdly' without specifying who these experts are or providing direct quotes.
Include specific names or titles of experts and provide direct quotes or references to their statements.
- 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.