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.
Using emotional language to create a positive image.
Phrases like 'Michael Jordan couldn’t stop smiling' and 'The GOAT, who sported tinted sunglasses and a black T-shirt, was seen pumping his fist in the air' are designed to evoke a positive emotional response.
Michael Jordan was seen smiling during the event.
Jordan, wearing tinted sunglasses and a black T-shirt, was seen raising his fist.
Relying on social media videos and posts for information.
The article references videos shared on social media and photos obtained by The Post without additional verification.
Include statements from the restaurant or other attendees to corroborate the events described.
Verify the details with additional sources beyond social media posts.
- 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.