Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Leon Rose
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.
Phrases like 'Knicks faithful had a field day' and 'Insane group and I love that Leon is still working the phones' add a sensational tone to the article.
Replace 'Knicks faithful had a field day' with 'Knicks fans reacted on social media.'
Replace 'Insane group and I love that Leon is still working the phones' with 'A group of people, including Tom Cruise, were present, and some fans noted Rose's dedication to his work.'
Using emotional language to elicit an emotional response from the reader.
Phrases like 'praised Rose’s no-quit demeanor' and 'Job never stops' are designed to evoke admiration and emotional response.
Replace 'praised Rose’s no-quit demeanor' with 'commented on Rose’s dedication to his work.'
Replace 'Job never stops' with 'noted that Rose was working even during the concert.'
- 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.