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.
Use of hyperbolic phrases to create excitement.
Phrases like 'the most epic Olympics ever' and 'smoke the competition' are sensationalistic and aim to hype up the event.
Replace sensationalistic phrases with more neutral language, such as 'an Olympics to remember' and 'stand out in the competition'.
Use of language that is subjective and not neutral.
The article uses phrases like 'pop culture icon' and 'the best person to promote' which are subjective and not neutral.
Use more neutral language, such as 'well-known figure in pop culture' and 'a recognized promoter of events and products'.
Claims made without evidence or support.
The claim that 'it’s going to be the most epic Olympics ever' is an unsubstantiated claim as it cannot be proven prior to the event.
Avoid making claims about future events that cannot be substantiated and stick to reporting the facts.
- 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.