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 emphasizing certain aspects to attract attention.
The article highlights the presence of high-profile individuals like Stephen Curry with a specific mention of his net worth, which is not directly relevant to the event.
Focus on the significance of the event itself rather than the wealth of attendees.
Remove the mention of Stephen Curry's net worth as it does not add value to the context of the article.
Using the presence of famous individuals to lend credibility or importance to the event.
The article lists several celebrities and their professions to emphasize the importance of the event.
Concentrate on the event's significance in the sports world without relying on celebrity presence to validate its importance.
- 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.