Media Manipulation and Bias Detection
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HonestyMeter - AI powered bias detection
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Modern Performers
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 subjective language that implies a judgment or opinion.
The article refers to earlier Super Bowl halftime shows as an 'endless wasteland' and describes the Up With People performances as 'annoyingly contrived,' which introduces the author's negative opinion rather than stating facts.
Replace 'endless wasteland' with 'a series of traditional performances' and 'annoyingly contrived' with 'stylized and thematic'.
The use of exciting or shocking stories or language at the expense of accuracy, in order to provoke public interest or excitement.
The article sensationalizes the change in halftime shows by emphasizing the contrast between the 'killer' and 'captivating' shows of the past with negative connotations, and the star-studded performances of recent years.
Present the evolution of halftime shows in a neutral tone, acknowledging the different entertainment styles without implying one is superior to the other.
- 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.